CRoNoS: Repository

Journal paper (2019)

Damian Brzyski, Alexej Gossmann, Weijie Su & MaÅ‚gorzata Bogdan (2019) Group SLOPE â€“ Adaptive Selection of Groups of Predictors, Journal of the American Statistical Association, 114:525, 419-433, DOI: 10.1080/01621459.2017.1411269 Link
Grogan M. and Dahyot R. (2019). L2 Divergence for Robust Colour Transfer, Computer Vision and Image Understanding, Volume 181, April 2019, Pages 39-49 DOI:10.1016/j.cviu.2019.02.002 Link Database Link
I. C. Demetriou. "Separation theorems for the extrema of best piecewise monotonic approximations to successive data", Optimization Methods and Software (GOMS), to appear 2019.
J. Einbeck, J. Hinde, S. Ingrassia et al. (2019), Editorial for the 4th Special Issue on advances in mixture models. Computational Statistics and Data Analysis. Link
S. Nagy, F. Ferraty (2019) Data Depth for Measurable Noisy Random Functions. J. Multivariate Anal. Journal of Multivariate Analysis 170, 95-114. Link
Roland Fried, Estimation methods for the LRD parameter under a change in the mean Link
V.J.Inglezakis, M.M.Fyrillas, J.Park (2019). Variable diffusivity homogeneous surface diffusion model and analysis of merits and fallacies of simplified adsorption kinetics equations Link
AN Nikolakopoulos, V Kalantzis, E Gallopoulos, JD Garofalakis (2019) EigenRec: generalizing PureSVD for effective and efficient top-N recommendations. Knowledge and Information Systems 58 (1), 59-81 Link
Marc Hofmann, Cristian Gatu, Erricos John Kontoghiorghes, Ana Colubi, Achim Zeileis. lmSubsets: Exact Variable-Subset Selection in Linear Regression for R. Journal of Statistical Software, 2019 (in press). Link Database Link
Mayor-Gallego, J.A., Moreno-Rebollo, J.L., Jimenez-Gamero, M.D. (2019) Estimation of the finite population distribution function using a global penalized calibration method. AStA, 103, 1--35. Link
MD Jimenez-Gamero, MV Alba-FernÃ¡ndez, FJ Ariza-LÃ³pez, (2019) Approximating the null distribution of a class of statistics for testing independence. Journal of Computational and Applied Mathematics, 354, 131--143.
N. Henze, M.D. Jimenez-Gamero, S.G. Meintanis. (2019) A novel characterization of multinormality and corresponding tests of fit, including for GARCH models. Econometric Theory, 35, 510--546.
A. BÃ¼cher, J.-D. Fermanian and I. Kojadinovic (2019), Combining cumulative sum change-point detection tests for assessing the stationarity of univariate time series, Journal of Time Series Analysis 40, pages 124-150 Link
Nordhausen, K. and Virta, J. (2019): An Overview of Properties and Extensions of FOBI. Knowledge-Based Systems, 173, 113-116.
Matilainen, M., Croux, C., Nordhausen, K. and Oja, H. (2019): Sliced Average Variance Estimation for Multivariate Time Series. Statistics: A Journal of Theoretical and Applied Statistics, 53, 630-655.
Virta, J. and Nordhausen, K.: Determining the Signal Dimension in Second Order Source Separation. To appear in Statistica Sinica. doi: 10.5705/ss.202018.0347. Link
Virta, J. and Nordhausen, K.: Estimating the Number of Signals Using Principal Component Analysis. Accepted for publication in Stat
Marco Riani, RIANI M., ATKINSON A.C., CERIOLI A., CORBELLINI A. (2019). Efficient robust methods via monitoring for clustering and multivariate data analysis, Pattern Recognition, 88, p. 246â€“260. https://doi.org/10.1016/j.patcog.2018.11.016 Link
Romo, J., Aguilera, C. and Lillo, R. (2019) Variable selection with P-splines in functional linear regression: application in graft-versus-host disease.
Romo, J., Dalia Valencia and Rosa Lillo. (2019) A Kendall correlation coefficient for functional dependence. To appear in Advanced Data analysis and Classification
La Vecchia, D.; Ronchetti, E. (2019).Saddlepoint Approximations for Short and Long Memory Time Series : A Frequency Domain Approach, Journal of Econometrics, to appear
Raymaekers, J., Rousseeuw, P.J. (2019). A generalized spatial sign covariance matrix. Journal of Multivariate Analysis, 171, 94-111 Link
Rousseeuw, P.J., Perrotta, D., Riani, M., Hubert, M. (2019). Robust monitoring of time series with application to fraud detection. Econometrics and Statistics, 9, 108-121. Link
Wang, Y., Van Aelst, S. (2019). Robust variable screening for regression using factor profiling. Statistical Analysis and Data Mining: The ASA Data Science Journal, 12, 70-87. Link
Cevallos Valdiviezo, H., Van Aelst, S. (2019). Fast computation of robust subspace estimators, Computational Statistics & Data Analysis, 134, 171-185. Link
Kalogridis, I. and Van Aelst, S. (2019). Robust functional regression based on principal components. Journal of Multivariate Analysis, 173, 393-415. Link
Mbah, C., Peremans, K., Van Aelst, S., Benoit, D.F. (2019). Robust Bayesian seemingly unrelated regression model. Computational Statistics, in press. Link
H. LÃ¼tkepohl, A. Staszewska-Bystrova and P. Winker (2019): â€œConstructing Joint Confidence Bands for Impulse Response Functions of VAR Models â€“ A Reviewâ€, Econometrics and Statistics, forthcoming.
D. Grabowski, A. Staszewska-Bystrova and P. Winker (2019): â€œSkewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Responseâ€, Functions AStA Advances in Statistical Analysis, accepted for publication.

Contribution in book (2019)

I. C. Demetriou and P. Tzitziris. "Infant Mortality and Income per Capita of World Countries for 1998-2016: Classification and Modeling by Increasing Returns". In Transactions on Engineering Technologies, 25th World Conference on Engineering (WCE 2017), Sio-long Ao, Len Gelman, Haeng Kon Kim (editors), pp. 71-93, Springer, DOI 10.1007/978-981-13-0746-1, ISBN 978-981-13-0745-4. Link
I. C. Demetriou and P. M. Pardalos. "Introduction" to "Approximation and Optimization, Algorithms, Complexity and Applications", Springer Optimization and its Applications 145, due to July 23, 2019, pp. 1-4. Link
I. C. Demetriou. "A Decomposition Theorem for the Least Squares Piecewise Monotonic Data Approximation Problem", in "Approximation and Optimization, Algorithms, Complexity and Applications", I. C. Demetriou and P. M. Pardalos (editors), Springer Optimization and its Applications 145, due to July 23, 2019, pp. 119-134. Link
Ferraro, M.B, Giordani, P., Robust fuzzy relational clustering of non-linear data. Advances in Intelligent Systems and Computing 832, 87-90.
Ramos-Guajardo, A.B., Blanco-FernÃ¡ndez, Ã., GonzÃ¡lez-RodrÃguez, G. (2019). Applying Statistical Methods with Imprecise Data to Quality Control in Cheese Manufacturing. Soft Modeling in Industrial Manufacturing, pp. 127-147. Link
Sinova, B. and Van Aelst, S. (2019), ``Empirical Comparison of the Performance of Location Estimates of Fuzzy Number-Valued Data,'' in Advances in Intelligent Systems and Computing, Vol. 832: Uncertainty Modelling in Data Science, eds. Destercke S., Denoeux T., Gil M., Grzegorzewski P., Hryniewicz O., Springer, Cham, 191--199. Database Link

Conference presentation (2019)

Elena Fernandez Iglesias, Fernandez-Iglesias, E.; Gonzalez-Rodriguez, G. and Marquinez, J. (2019). Assessing an increase of extreme rainfall by a bootstrap isotonic test.2nd workshop on Multivariate Data and Software, Limassol, Cyprus, 14-16 April 2019. Pg 30. Link
Hubin A., Storvik G., Frommlet F. (2019) Deep Bayesian Regression, Final Cronos Meeting and Workshop on Multivariate Data Analysis, Limassol, Cyprus, April 14
C. Gatu, M. Hofmann, A. Colubi, E.J. Kontoghiorghes. Computational strategies for regression subset selection. Final CRoNoS meeting and the 2nd workshop on Multivariate Data and Software, Poseidonia Beach Hotel, Limassol, Cyprus, 14-16 April 2019. Link
Gomes, M.I., Reis, P., Canto e Castro, L. and Dias, S. (2019). Approximations for extremes and reliability of high-dimension coherent systems. CRoNoS MDAâ€”Programme and Abstracts, p. 7. Link
Gomes, M.I. (2019). Statistics of Extremes and Risk Assessment using R. CRoNoS MDAâ€”Programme and Abstracts, p. 30. Link
Stella Hadjiantoni, Numerical strategies for the estimation of functional regression models. Final CRoNoS meeting and Workshop on Multivariate Data Analysis and Software
Hron, K. (2019) Applied compositional data analysis. In CRoNoS & MDA 2019, Limassol, Cyprus (Spring Course) Link
Klaus Nordhausen (2018): Estimating the number of signals in noisy ICA. 2nd workshop on Multivariate Data and Software, Limassol, Cyprus, 14-16 April 2019.
Ramos-Guajardo, A.B.; Ferraro, M.B. (2019). Distances for clustering non-precise information: A comparative study. Final CRoNoS meetings and Workshop on Multivariate Data Analysis, April 14-16, Limassol, Cyprus. Link
Ronchetti, E. (2019). Prediction and Robustness. CRoNoS & MDA 2019, Limassol (Cyprus), 14-16 April, 2019.
Taskinen, S. (2019): Blind source separation based on robust M autocovariances, CRoNoS & MDA 2019, Limassol, Kypros, 16.4.2019.

Projects (2019)

Elena Fernandez Iglesias, 2016-2019. Recent Changes in Cantabrian rivers: Analysis, causality and prospective. I+D+i programme Retos financed by MINECO - European Regional Development Fund (ERDF) CGL2015-68824-R. Including statistical analysis of rainfall and fluvial discharge trends. Link Database Link
Elena Fernandez Iglesias, Implementation and monitoring of the flood risk management plan for the fluvial basin of the Western Cantabrian Water Authority (2019-2020). Reviewing of the Preliminary Flood Risk Assessment (PFRA), Flood hazard and Natural Risk. Geomorpholoical assesment. EPTISA.
Roland Fried, Analysis of structural change in dynamic processes Link
Gil Gonzalez-Rodriguez, Principal Investigator of a research contract with Maxam Corp. Holding S.L. for the improvement and development of products.
Gil Gonzalez-Rodriguez, Member of the regional research project "Research in emergency management and civil protection". Principal researcher: Jorge Marquinez.
Gil Gonzalez-Rodriguez, Principal investigator (University of Oviedo partner) of the european research project "Conserving Atlantic Biodiversity by Supporting Innovative Small Scale (CABFishMAN)" (2019-2022). European Regional Developing Fund - Interreg Atlantic Area. Partners: Spain (15), France (2), UK (8), Portugal (2), Ireland (1).
Separation of geochemical signals in sediments: application of advanced statistical methods on large geochemical datasets. Czech Science Foundation 19-01768S. PI Karel Hron, Palacky University, Olomouc Link
Klaus Nordhausen, Project "Blind Source Separation in Time and Space" (P31881-N32) funded by the Austrian Science Fund FWF (01.04.2019-31.03.2022).

Software (2019)

Malgorzata Bogdan, R-package glmSlope: Sorted L1 Penalized Estimation (SLOPE) for generalized linear models (GLM) by Daniel Kucharczyk Link
Malgorzata Bogdan, R-package gSlope: Sorted L1 Penalized Estimation (SLOPE) for gaussian graphical models by Piotr Sobczyk Link
Software for the paper Marc Hofmann, Cristian Gatu, Erricos John Kontoghiorghes, Ana Colubi, Achim Zeileis. lmSubsets: Exact Variable-Subset Selection in Linear Regression for R. Journal of Statistical Software, 2019 (in press). Link Database Link
Ivan Kojadinovic, R package npcp: "Some Nonparametric Tests for Change-Point Detection in Possibly Multivariate Observations" Link
R package copula: "Multivariate Dependence with Copulas" Authors: Marius Hofert, Ivan Kojadinovic, Martin Maechler, and Jun Yan. Link
Marco Riani, Release 2019 of FSDA toolbox Link
Software for the paper "Raymaekers, J., Rousseeuw, P.J. (2019). A generalized spatial sign covariance matrix. Journal of Multivariate Analysis, 171, 94-111" Link
Software for the paper â€œ Rousseeuw, P.J., Perrotta, D., Riani, M., Hubert, M. (2019). Robust monitoring of time series with application to fraud detection. Econometrics and Statistics, 9, 108-121" Link
Software for the paper "Wang, Y., Van Aelst, S. (2019). Robust variable screening for regression using factor profiling. Statistical Analysis and Data Mining: The ASA Data Science Journal, 12, 70-87" Link
Software for the paper: Cevallos Valdiviezo, H., Van Aelst, S. (2019). Fast computation of robust subspace estimators, Computational Statistics & Data Analysis, 134, 171-185. Link

Reports (2019)

On the sign recovery by LASSO, thresholded LASSO and thresholded Basis Pursuit Denoising by Patrick J. C. Tardivel, Malgorzata Bogdan Link
AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools Miguel de Prado, Jing Su, Rozenn Dahyot, Rabia Saeed, Lorenzo Keller and Noelia Vallez, HiPEAC 2019 workshop Emerging Deep Learning Accelerator January 2019 Link Database Link
Roland Fried, On scale estimation under shifts in the mean Link

Others (2019)

I. C. Demetriou and P. M. Pardalos (editors). "Approximation and Optimization: Algorithms, Complexity and Applications", Springer Optimization and Its Applications 145. Due: July 23, 2019, ISBN 978-3-030-12767-1. This book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art topics with highly relevant applications throughout science, engineering, technology and social sciences. Academics, researchers, data science practitioners, business analysts, social sciences investigators and graduate students will find the number of illustrations, applications, and examples provide Link
Elena Fernandez Iglesias, Fernandez-Igleias, E.; Fried, R.; Marquinez, J. Seasonal Paterns and trends of rainfall events in NW of Spain. Work in progress.
Elena Fernandez Iglesias, STSM "Similarities and differences in the behaviour of recent floods happened in Cyprus and Spain, taking to account real, non-perfect and non-standard hydrological data" hosted at Department of Mechanical Engineering of Frederick University of Cyprus by Paris A. Fokaides and Panagiotis Paoullis(11.04-28.04.2019).
Roland Fried, Database collected by different projects within our collaborative research center DFG-SFB 823 at TU Dortmund University, Germany Database Link
Maria Dolores Jimenez-Gamero, Seminar: Goodness-of-t tests based on the characteristic function. Organized by: Southampton Statistical Sciences Research Institute, Southampton university (UK) March 2019
STSM "Statistical properties of dimension reduction estimators for tensor and time series data" of Joni Virta hosted at TU Wien, Austria, by Klaus Nordhausen (03.03-08.03.2019).

Journal paper (2018)

Eric Beutner; Henryk ZÃ¤hle (2018). Bootstrapping Average Value at Risk of Single and Collective Risks,Risks 6(3), 96. Link
D. Brzyski, A. Gossmann, W.Su, M. Bogdan, "Group SLOPE - adaptive selection of groups of predictors", to appear in Journal of the American Statistical Association, available online from the journal web-page, ENAR Distinguished Student Paper (March 2017, Award to D. Brzyski), Benchmark - includes comparative simulation and real data analysis study of different methods for Genome Wide Association Studies. Link
E.Bongiorno, A.Goia, P.Vieu. Evaluating the complexity of some families of functional data. SORT, 42 (1) January-June (2018). Link Database Link
E.Bongiorno, A.Goia, P.Vieu. (2018). Modeling Functional Data: a test procedure. Computational Statistics Link
E.G.Bongiorno, A.Goia. Describing the Concentration of Income Populations by Functional Principal Component Analysis on Lorenz curves. "Journal of Multivariate Analysis" (doi: 10.1016/j.jmva.2018.09.005). Database Link
Carmen Cadarso Suarez, GirÃ¡ldez E., Varo E., Guler I., TomÃ© S., Barral P. , Garrote A., Gude F.(2018). Post-operative stress hyperglycemia is a predictor of mortality in liver transplantation.Diabetoly & Metabolic Syndrome. Link
Carmen Cadarso Suarez, EspasandÃn-DomÃnguez, J; BenÃtez-EstÃ©vez, A; Kneib, T; Barreiro-MartÃnez, T;Casas-MÃ©ndez, B; Gude, F. Geographical differences in blood potassium detected using a structured additive distributional regression model. Spatial Statistics Link
Gonzalez-RodrÃguez, G., Ramos-Guajardo, A.B., Colubi, A., Blanco-Fernandez, Ã. (2018). A new framework for the statistical analysis of set-valued random elements. International Journal of Approximate Reasoning 92, pp. 279-294 Link
M. Grogan and R. Dahyot (2018) Shape Registration with Directional Data. Pattern Recognition, Volume 79, July 2018, Pages 452-466 DOI:10.1016/j.patcog.2018.02.021 Link Database Link
V. A. Krylov, E. Kenny and R. Dahyot (2018) Automatic Discovery and Geotagging of Objects from Street View Imagery, Remote Sensing, vol. 10, number 5. https://doi.org/10.3390/rs10050661 Link Database Link
Marques da Silva JÃºnior, A. Hermes, Einbeck, Jochen, and Craig, Peter S. (2018) 'Fisher information under Gaussian quadrature models.', Statistica Neerlandica., 72 (2). 74-89. Link
Einbeck, Jochen, Ainsbury, Elizabeth A., Sales, Rachel, Barnard, Stephen, Kaestle, Felix & Higueras, Manuel (2018). A statistical framework for radiation dose estimation with uncertainty quantification from the Î³-H2AX assay. PLOS ONE 13(11): e0207464. Link
Qarmalah, Najla M, Einbeck, Jochen, and Coolen, Frank P.A. (2018) 'k-Boxplots for mixture data.', Statistical papers., 59 (2), 513-528. Link
Wilson, Paul, and Einbeck, Jochen (2018) 'A new and intuitive test for zero modification.', Statistical Modelling. DOI: 10.1177/1471082X18762277 Link
Ferraro, M.B., Giordani, P., Vantaggi, B. Special issue on soft methods in probability and statistics (SMPS 2016) (Editorial). International Journal of Approximate Reasoning 96, 18-19
F. Ferraty, P. Kokoszka, J.-L. Wang, Y. Wu. Special Issue on High-Dimensional and Functional Data Analysis (Eds.). Computational Statistics and Data Analysis (to appear)
Lilienthal, J., Fried, R., Schumann A. (2018). Homogeneity testing for skewed and cross-correlated data in regional flood frequency analysis. Journal of Hydrology, 556, 557-571. Link
Lilienthal, J., Fried, R., Schumann A. (2018). Homogeneity testing for skewed and cross-correlated data in regional flood frequency analysis. Journal of Hydrology, 556, 557-571. Link
E. Sasaki, F. Frommlet, M. Nordborg: GWAS with heterogeneous data: estimating the fraction of phenotypic variation mediated by gene expression data, 2018, G3: Genes, Genomes, Genetics, g3. 200571. Link
I. Pereira, E. Pablik, F. Schwarzhans, H. Resch, G. Fischer, C. Vass, F. Frommlet, A functional regression model of the retinal nerve fiber layer thickness in healthy subjects, 2018, TVST, Jan 19;7(1):9. doi: 10.1167/tvst.7.1.9 Link
A. Hubin, G. Storvik, F. Frommlet: A Novel Algorithmic Approach to Bayesian Logic Regression, Bayesian Anal. Advance publication (2018) Link
V Kalantzis, ACI Malossi, C Bekas, A Curioni, E Gallopoulos, Y Saad (2018) A scalable iterative dense linear system solver for multiple right-hand sides in data analytics Parallel Computing 74, 136-153, https://doi.org/10.1016/j.parco.2017.12.005 Link
Gomes, M.I., Caeiro, F., Figueiredo, F., Henriques-Rodrigues, L. and Pestana, D. (2018). Corrected Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics: Simulation and Computation. Accepted, June 4, 2018. Link
Penalva, H., Gomes, M.I., Caeiro, F. & Neves, M. (2018). A couple of non reduced bias generalized means in extreme value theory: an asymptotic comparison. Accepted at REVSTAT, January 5, 2018. Link
Hadjiantoni, S. and Kontoghiorghes, E. (2018). A recursive three-stage least squares method for large-scale systems of simultaneous equations. Linear Algebra and its Applications 536:210-227. Available at: https://doi.org/10.1016/j.laa.2017.08.019.
Matys Grygar, T., HoÅ¡ek, M., Pacina, J., Å tojdl, J., BÃ¡bek, O., SedlÃ¡Äek, J., Hron, K., TalskÃ¡, R., KÅ™ÃÅ¾eneckÃ¡, S., TolaszovÃ¡, J. Change in geochemistry of fluvial sediments after dam construction (the Chrudimka River, the Czech Republic). Applied Geochemistry, 98 (2018), 94-108. Link
MÃ¼ller, I., Hron, K., FiÅ¡erovÃ¡, E., Å mahaj, J., Cakirpaloglu, P., VanÄÃ¡kovÃ¡, J. Interpretation of compositional regression with application to time budget analysis. Austrian Journal of Statistics, 47 (2018), No. 2, 3-19. Link
Di Palma, M.A., Filzmoser, P., Gallo, M., Hron, K. A robust PARAFAC model for compositional data. Journal of Applied Statistics, 45 (2018), No. 8, 1347-1369. Link
Chen, J., Zhang, X., Hron, K., Templ, M., Li, S. Regression imputation with Q-mode clustering for rounded zero replacement in high-dimensional compositional data. Journal of Applied Statistics, 45 (2018), No. 11, 2067-2080. Link Database Link
TalskÃ¡, R., Menafoglio, A., MachalovÃ¡, J., Hron, K., FiÅ¡erovÃ¡, E. Compositional regression with functional response. Computational Statistics and Data Analysis, 123 (2018), 66-85. Link
Å tefelovÃ¡, N., DygrÃ½n, J., Hron, K., GÃ¡ba, A., RubÃn, L., Palarea-Albaladejo, J. Robust compositional analysis of physical activity and sedentary behaviour data. International Journal of Environmental Research and Public Health, 15 (2018), No. 10, 2248 (18 pages). Link
MajerovÃ¡, L., BÃ¡bek, O., NavrÃ¡til, T., NovÃ¡kovÃ¡, T., Å tojdl, J., ElznicovÃ¡, J., Hron, K., Matys Grygar, T. Dam reservoirs as efficient trap for historical pollution: pass of Hg and Pb through OhÅ™e River, Czech Republic. Environmental Earth Sciences, 77 (2018), 574 (12 pages). Link
Rivas-MartÃnez, G.I. Jimenez-Gamero, M.D. (2018) Computationally efficient goodness-of-fit tests for the error distribution in nonparametric regression. REVSTAT, vol 16, num 1, 137--166
M.D. Jimenez-Gamero, J.L. Moreno-Rebollo, J.A. Mayor-Gallego (2018) On the estimation of the characteristic function in finite populations with applications. TEST, 27, 95--121.
M.V. Alba-FernÃ¡ndez, M.D. Jimenez-Gamero and F.J. Ariza-LÃ³pez (2018) Minimum penalized phi-divergence estimation under model misspecification, Entropy, 20, 329. Link
N. Henze, M.D. Jimenez-Gamero. A new class of tests for multinormality with i.i.d. and GARCH data based on the empirical moment generating function. To appear in TEST Database Link
J.C. Pardo-FernÃ¡ndez, M.D. Jimenez-Gamero (2018) Testing for the conditional variance in nonparametric regression models. AStA.
MD Jimenez-Gamero, MV Alba-FernÃ¡ndez. Testing for the Poisson-Tweedie distribution (2018) Mathematics and Computers in Simulation Link
P. JodrÃ¡, M.D. Jimenez-Gamero (2018) A quantile regression model for bounded responses based on the exponential-geometric distribution. REVSTAT Link Database Link
A. BÃ¼cher and I. Kojadinovic (2018), A note on conditional versus joint unconditional weak convergence in bootstrap consistency results, Journal of Theoretical Probability, in press Link
Nordhausen, K. and Oja, H. (2018): Robust Nonparametric Inference. Annual Review of Statistics and Its Application, 5, 473-500.
Teschendorff, A.E., Han, J., Paul, D., Virta, J. and Nordhausen, K. (2018): Tensorial Blind Source Separation for Improved Analysis of Multi-Omic Data. Genome Biology, 19, 76. Link
Nordhausen, K. and Oja, H. (2018): Independent Component Analysis: A Statistical Perspective. WIREs Computational Statistics, 10, e1440.
Archimbaud, A., Nordhausen, K. and Ruiz-Gazen, A. (2018): ICS for Multivariate Outlier Detection with Application to Quality Control. Computational Statistics and Data Analysis, 128, 184-199.
Archimbaud, A., Nordhausen, K. and Ruiz-Gazen, A. (2018): Unsupervized Outlier Detection with ICSOutlier. The R Journal, 10, 234-250. Link
Virta, J., Li, B., Nordhausen, K. and Oja, H. (2018): JADE for Tensor-Valued Observations. Journal of Computational and Graphical Statistics, 27, 628-637.
Miettinen, J., Nordhausen, K. and Taskinen, S. (2018): fICA: FastICA Algorithms and Their Improved Variants. The R Journal, 10, 148-158. Link
Giuzio, M., Eichhorn-Schott, K., Paterlini, S. et al. (2018). Tracking Hedge Funds Returns using Sparse Clones, Ann Oper Res 266: 349. https://doi.org/10.1007/s10479-016-2371-5
Ulrich Hommel, Wenwei Li, Sandra Paterlini (2018). Network Topology and Systemic Risk: Evidence from the Euro Stoxx Market. FINANCE RESEARCH LETTERS, vol. 2018, ISSN: 1544-6123, doi: 10.1016/j.frl.2018.02.016 Link
Margherita Giuzio, Andreas Gintschel, Sandra Paterlini (2018). The Components of Private Debt Performance. THE JOURNAL OF ALTERNATIVE INVESTMENTS, vol. Spring 2018, ISSN: 1520-3255
Gabriele Torri, Rosella Giacometti, Sandra Paterlini (2018). Robust and sparse banking network estimation. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 270, p. 51-75, ISSN: 0377-2217
Marco Riani, ATKINSON A.C., RIANI M., CERIOLI A., (2018). Cluster Detection and Clustering with Random Start Forward Searches Journal of Applied Statistics, n. 45, p. 777-798 Link
Marco Riani, RIANI M., CORBELLINI A., ATKINSON A.C. (2018). The Use of Prior Information in Very Robust Regression for Fraud Detection. International Statistical Review, Vol. 86, p. 205-218. Link
Marco Riani, CERIOLI A, FARCOMENI A, RIANI M. (2018). Wild adaptive trimming for robust estimation and cluster analysis. Scandinavian Journal of Statistiscs, p. 1â€“22 Link
Marco Riani, TORTI F. PERROTTA D., RIANI M. CERIOLI A (2018). Assessing Trimming Methodologies for Clustering Linear Regression Data, Advances in Data Analysis and Classification, https://doi.org/10.1007/s11634-018-0331-4 . Link
Romo, J., Juan C. Laria, M Carmen Aguilera-Morillo, Enrique Ãlvarez, Rose E. Lillo, Sara LÃ³pez-Taruella, MarÃa del Monte-MillÃ¡n, Antonio C. Picornell and Miguel MartÃn (2018). Iterative variable selection for high-dimensional data: Prediction of pathological response in triple-negative breast cancer
Romo, J., Francesco Palma and Francesca Ieva (2018). Analyzing dependence in multivariate functional data.
Romo, J, and JosÃ© Luis Torrecilla (2018). Data learning from big data (2018). Statistics and Probability Letters Link
Romo, J., with E. Buces, C. MartÃnez-Laperche, M. C. Aguilera-Morillo, A. Picornell, M. GonzÃ¡lez-Rivera, R. Lillo et al. (2018). A novel predictive approach for GVHD after allogeneic SCT based on clinical variables and cytokine gene polymorphisms. Blood Advances (2018), 2,1719-1737.
Romo, J., A. Azcorra, L.F. Chiroque, R. Cuevas, A. FernÃ¡ndez Anta, H. Laniado, R. Lillo, J. Romo and C. Sguera. (2018). Unsupervised scalable statistical method for identifying influential users in online social networks. Scientific Reports. Link
Romo, J. and Aurora Torrente. Initialization algorithm for k-means using bootstrap and data depth
Avella-Medina, M.; Ronchetti, E. (2018). Robust and consistent variable selection in high-dimensional generalized linear models. Biometrika, 105, pp. 31-44
Rousseeuw, P.J., Van den Bossche, W. (2018). Detecting deviating data cells. Technometrics, 60, 135-145. Link
Raymaekers, J., Rousseeuw, P.J. (2018). Fast robust correlation for high dimensional data. Link Database Link
Hubert, M., Rousseeuw, P.J., Van den Bossche, W. (2018). MacroPCA: An all-in-one PCA method allowing for missing values as well as cellwise and rowwise outliers. Technometrics, in press. Link Database Link
Segaert, P., Lopes, M.B., Casimiro, S., Vinga, S., Rousseeuw, P.J. (2018). Robust identification of target genes and outliers in triple-negative breast cancer data. Statistical Methods in Medical Research, in press. Link
Raymaekers, J., Rousseeuw, P.J., Vranckx, I. (2018). Discussion of â€œThe power of monitoring: how to make the most of a contaminated multivariate sampleâ€. Statistical Methods & Applications, 27, 589â€“594. Link
Tavares, A., Raymaekers, J., Rousseeuw, P.J., Silva, R., Bastos, C., Pinho, A., Brito, P., Afreixo, V. (2018). Comparing reverse complementary genomic words based on their distance distributions and frequencies. Interdisciplinary Sciences: Computational Life Sciences, 10 (1), 1-11 Link
Rousseeuw, P.J., Raymaekers, J., Hubert, M. (2018). A measure of directional outlyingness with applications to image data and video. Journal of Computational and Graphical Statistics, 27, 345-359. Link Database Link
Hubert, M., Debruyne, M., Rousseeuw, P.J. (2018). Minimum Covariance Determinant and extensions. WIREs Computational Statistics, 10 (3), e1421. Link
Rousseeuw, P.J., Hubert, M. (2018). Anomaly detection by robust statistics. WIREs Data Mining and Knowledge Discovery, 8 (2), e1236. Link
Rousseeuw, P.J., Hubert, M. (2018). Computation of robust statistics: depth, median and related measures. In Handbook of Discrete and Computational Geometry, 3rd edition, edited by J.E. Goodman, J. O'Rourke, and C.D. Toth. CRC Press, pages 1541-1554. Link
Niku, J., Herliansyah, R., Brooks, W., Hui, F.K,C and Taskinen, S., Warton, D.I. (2018): Efficient estimation of generalized linear latent variable models, PLoS ONE, 14, e0216129. Link
Wagner, W. Trutschnig, A.C. Bathke, U. Ruprecht (2018). A firsrst approach to calculate BIOCLIM variables and climate zones for Antarctica. Theoretical and Applied Climatology 131, 1397-1415.
Sinova, B., Van Aelst, S. (2018). Advantages of M-estimators of location for fuzzy numbers based on Tukey's biweight loss function. International Journal of Approximate Reasoning, 93, 219-237. Link Database Link
Sinova, B., Van Aelst, S. (2018). A spatial-type interval-valued median for random intervals. Statistics, 52 (3), 479-502. Link Database Link
Peremans, K., Van Aelst, S. (2018). Robust inference for seemingly unrelated regression models. Journal of Multivariate Analysis, 167, 212-224. Link Database Link
Sinova, B., GonzÃ¡lez-RodrÃguez, and Van Aelst, S. (2018). M-Estimators of Location for Functional Data. Bernoulli, 24 (3), 2328-2357. Link
Peremans, K., Van Aelst, S., and Verdonck, T. (2018) A Robust General Multivariate Chain Ladder Method, Risks, 6(4): 108. Link
Kuffner TA, Lee SMS, Young GA, 2018, Consistency of a hybrid block bootstrap for distribution and variance estimation for sample quantiles of weakly dependent sequences, AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, Vol: 60, Pages: 103-114, ISSN: 1369-1473 Link

Contribution in book (2018)

I. C. Demetriou and I. P. Kandylas. "Smoothing Yield Curve Data by Least Squares and Concavity or Convexity. In: Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2018 (editors S. I. Ao, L. Gelman, D.W.L. Hukins, A. Hunter, A.M. Korsunsky), 4-6 July, 2018, London, U.K., pp. 126-131. Best Paper Award of The 2018 International Conference of Computational Statistics and Data Engineering.
I. C. Demetriou, "An Example of Nondecomposition in Data Fitting by Piecewise Monotonic Divided Differences of Order Higher than Two". In: Open Problems in Optimization and Data Analysis (editors: P.M. Pardalos, A. Migdalas), Springer Optimization and Its Applications 141, Springer Nature Switzerland AG 2018, pp. 319-330, https:/doi.org/10.1007/978-3-319-99142-9_17
Ramos-Guajardo, A.B., GonzÃ¡lez-RodrÃguez, G., Colubi, A., Ferraro, M.B., Blanco-FernÃ¡ndez, Ã. On Some Concepts Related to Star-Shaped Sets. Studies in Systems, Decision and Control 42, 699-708
Walach, J., Filzmoser, P., Hron, K. Data normalization and scaling: Consequences for the analysis in omics sciences. In: Jaumot, J., Bedia, C., Tauler, R. (2018) Data analysis for omics sciences: Methods and applications. Elsevier, Amsterdam: 165-196. Link Database Link
M. Hofert, I. Kojadinovic, M. MÃ¤chler and J. Yan (2018), Elements of Copula Modeling with R, Springer UseR! Series, 274 pages. Link Database Link
Matilainen, M., Nordhausen, K. and Virta, J. (2018): On the Number of Signals in Multivariate Time Series.â€ In Deville, Y., Gannot, S., Mason, R., Plumbley, M.D. and Ward, D. (editors) â€œInternational Conference on Latent Variable Analysis and Signal Separationâ€, LNCS 10891, 248-258. Springer, Cham.
Nordhausen, K. and Virta, J. (2018): Ladle Estimator for Time Series Signal Dimension. Proceedings of the IEEE Statistical Signal Processing Workshop (SSP), 428-432.
Ramos-Guajardo, A.B., GonzÃ¡lez-RodrÃguez, G., Colubi, A., Ferraro, M.B., Blanco-FernÃ¡ndez, Ã. (2018). On Some Concepts Related to Star-Shaped Sets. In: Gil E., Gil E., Gil J., Gil M. (eds) The Mathematics of the Uncertain. Studies in Systems, Decision and ControlVolume 142, pp. 699-708. Link

Conference presentation (2018)

Eric Beutner; Laurent Bordes; Laurent Doyen (2018). Semiparametric methods for recurrent event times models with application to virtual age models, CM Statistics, Hong Kong, 19-21 June.
Eric Beutner, Hneryk Zaehle (2018) Density estimators that can be plugged in, CMStatistics, Pisa, 14-16 December.
Eric Beutner, Hneryk Zaehle (2018) Density estimators that can be plugged in, CMStatistics, Pisa, 14-16 December.
Enea Bongiorno, 31/08 - 02/09/2017, Iasi, Romania. ``Satellite Workshop of COMPSTAT 2018 on Functional Data Analysis''
McNally, S., Roche, J., and Caton, S., 2018. Predicting the Price of Bitcoin Using Machine Learning. 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing.
I. C. Demetriou. "Peak Estimation of a Spectrum from Noisy Measurements by Least Squares Piecewise Monotonic Data Approximation", presented at The 2018 IAENG International Conference on Bioinformatics, IMECS2018, 14-16 March 2018, Hong - Kong.
I. C. Demetriou. "M.J.D. Powellâ€™s Software Packages for Constrained Optimization Calculations", presented at a CRoNoS invited session for Spring Course and Workshop on Multivariate Data Analysis and Software, April 5, 2018.
I. C. Demetriou. "Smoothing Yield Curve Data by Least Squares and Concavity or Convexity", presented at WCE ICCSDE, 4-6 July 2018, Imperial College, London.
I. C. Demetriou. "A O(n) Algorithm for the Discrete Best L4 Monotonic Approximation to Univariate Data", presented at The 11th Intl Conference of the ERCIM WG on Computational and Methodological Statistics, CMStatistics2018, Pisa 14-16 December 2018, University of Pisa, Italy.
Elena Fernandez Iglesias, FernÃ¡ndez-Iglesias, E.; GonzÃ¡lez-RodrÃguez, G.; MarquÃnez-GarcÃa, J. and FernÃ¡ndez-GarcÃa, M. (2018). Impact of rainfall on the greater flow peaks in Esva river Basin in NW of Spain and relations to land use changes. Book of Abstracts of 1st CRoNoS Workshop on Multivariate Data Analysis and Software. Limassol (Cyprus), pag. 5. Link Database Link
Elena Fernandez Iglesias, FernÃ¡ndez-Iglesias, E.; GonzÃ¡lez-RodrÃguez, G. and MarquÃnez-GarcÃa (2018). Statistical approaches of the extreme rainfall events variability using hourly data, NW Spain. Book of Abstracts of 11th International Conference on Computational and Methodological Statistics. University of Pisa, pag. 95 Link
Elena Fernandez Iglesias, 2018. MarquÃnez GarcÃa, J.; FernÃ¡ndez-Iglesias, E.; Colina Vuelta, A.; FernÃ¡ndez GarcÃa, M.; Salgado, L.; VÃ¡zquez-TarrÃo, D.; MenÃ©ndez-Duarte, R.; GonzÃ¡lez-RodrÃguez, G. Effects of land-use changes during the last 60 years on river channel morphology in the Cantabrian area (NW Spain): preliminary results. III International Conference of Integrative Sciences and Sustinable developtemnt of rivers. Lyon Link
Elena Fernandez Iglesias, MarquÃnez GarcÃa, J.; FernÃ¡ndez-Iglesias, E. y MenÃ©ndez Duarte, R. (2018). Geomorphological changes in Cantabric alluvial Rivers (NW Spain). Artificial change vs Global change. In: GarcÃa et al. (Eds.), GeomorfologÃa del Antropoceno: Efectos del cambio global sobre los procesos geomorfolÃ³gicos. Mallorca. 357 â€“ 362. Link
Elena Fernandez Iglesias, MarquÃnez J., Alonso-Gonzalez,M.L.; Colina, a., DÃaz,T. Fernandez M., Fernandez-Iglesias, E.; Fernandez-Prieto, J.A., Fuente, L., Garcia, P., Sanna, M.; Torralba, A.; ValderrÃ¡bano, J. (2018). Improvement and sustainable management of river corridors in the Iberian Atlantic Region.11th SER Europe Conference, Restoration in the Era of Climate Change. Reykjavik, September 2018. Link
Elena Fernandez Iglesias, Alonso-Felpete, J.I.; Fernandez-iglesias, E. (2018). Keynote talk. Prioritizing the conservation of coastal dunes in Northern Spain (EN).International Workshop - Management of Coastal dunes and Sandy Beaches. 12 to 14 June, Dunkerque, France. Link
Ferraro, M.B., Giordani, P., Relational fuzzy clustering to identify non-linear structures. 23rd International Conference on Computational Statistics (COMPSTAT 2018), 28-31 August 2018, Iasi, Romania. Link
F. Ferraty, P. Kokoszka, J.-L. Wang, Y. Wu. Special Issue on High-Dimensional and Functional Data Analysis (Eds.). Computational Statistics and Data Analysis (to appear)
Frederic Ferraty, COMPSTAT 2018 - Tutorial on functional/complex data and nonparametric modelling (Iasi, Romania, August 2018)
Alexander DÃ¼rre, Roland Fried. Robust time series analysis by the R-package robts. Invited Talk at ICORS 2018, Leuven, Belgium, 05.07.2018.
Sermad Abbas, Roland Fried. Robust and nonparametric control charts for detection of abrupt shifts in time-varying signals. Invited Talk at the joint Austrian-German Statistical Meeting "Statistische Woche 2018", Linz, Austria, 12.092018.
Alexander DÃ¼rre, Roland Fried. On robust changepoint detection in multivariate time series. Invited Talk at the International Statistics Festival 2018, Ulm, Germany 17.09.2018.
Hubin A., Storvik G., Frommlet F. (2018) Deep Bayesian Regression, UMI-SIMAI-PTM Joint meeting, Wroclaw, Poland, September 18
Hubin A., Storvik G., Frommlet F. (2018) Deep Bayesian Regression, Compstat, Iasi, Rumania, August 30
Frommlet F., (2018) Selecting predictive biomarkers from genomic data, IBC, Barcelona, Spain, July 12
Hubin A., Storvik G., Frommlet F. (2017) Bayesian model selection in logic regression, CMStatistics, London, December 16
Hubin A., Storvik G., Frommlet F. (2018) Deep Bayesian Regression, UMI-SIMAI-PTM Joint meeting, Wroclaw, Poland, September 18
Hubin A., Storvik G., Frommlet F. (2018) Deep Bayesian Regression, Compstat, Iasi, Rumania, August 30
C. Gatu. Computational strategies for regression model selection. 1st CRoNoS Workshop on Multivariate Data and Software, Poseidonia Beach Hotel, Limassol, Cyprus, 3-5 April 2018. Link
C. Gatu, C. Barna, A. Colubi, E.J. Kontoghiorghes. A graph approach to find the best grouping for each possible number of clusters. 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018). University of Pisa, Italy, 14-16 December 2018. Link
Gomes, M.I., Caeiro, F., Figueiredo, F., Henriques-Rodrigues, L. and Pestana, D. (2018). Mean-of-order-p Value-at-Risk Estimation: a Monte-Carlo Comparison. V Workshop on Computational Data Analysis and Numerical Methods: Book of Abstracts, 70-72. Link
Penalva, H., Gomes, M.I., Caeiro, F. and Neves, M.M. (2018). Asymptotic and finite sample comparison of some extreme value Ãndex classes of estimators. V Workshop on Computational Data Analysis and Numerical Methods: Book of Abstracts, 50-51. Link
Neves, M., Gomes, M.I., Penalva, H., and Caeiro, F. (2018). Resampling methods for an adequate tail index estimation. In Cristian Gatu et al. (eds.), COMPSTAT 2018 and CRoNoS FDA 2018: Programme and Abstracts, pp. 9-10. Link
Gomes, M.I. (2018). The role of generalized means in multivariate extreme value statistics. CRoNoS MDA, 2018. Invited talk at 1st CRoNoS Workshop and Spring Course on Multivariate Data Analysis and Software, Limassol, Cyprus, April 3-5. Abstract available at: Book of Abstracts of CRoNoS MDA 2018, ECOSTA ECONOMETRICS and STATISTICS edition, p. 7. Link
Figueiredo, F., Figueiredo, A. and Gomes, M.I., (2018). Combining Sensory and Chromatographic Analyses in Acceptance Sampling Plans. V Workshop on Computational Data Analysis and Numerical Methods: Book of Abstracts, 44-45. Link
Gomes, M.I. (2018). Semi-Parametric estimation of the tail dependence coefficient through generalized means. In Cristian Gatu et al. (eds.), COMPSTAT 2018 and CRoNoS FDA 2018: Programme and Abstracts, p. 27. Link
K. Hron, K. FaÄevicovÃ¡, J. RendlovÃ¡ (2018.) Compositional tables and their coordinate representations. In COMPSTAT 2018, Iasi, Romania Link
N Henze, MD Jimenez-Gamero, SG Meintanis. A characterization of multinormality and corresponding tests of fit. 4th Conference of the International Society for Nonparametric Statistics (ISNPS 2018), Salerno, June 11-15, 2018.
Klaus Nordhausen (2018): On estimating the number of signals in multivariate time series. 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Pisa, Italy, 14-16 December 2018
Sandra Paterlini, Kremer, Philipp, Lee, Sangkyun, BOGDAN, Malgorzata, PATERLINI, Sandra (2017). Sparse Portfolio Selection via the Sorted L1 - Norm, CFE 2018, EO202: Analysis of large data sets: Theory and applications Link
Sandra Paterlini, Kremer, Philipp, Lee, Sangkyun, BOGDAN, Malgorzata, PATERLINI, Sandra (2017). Sparse Portfolio Selection via the Sorted L1 - Norm, EFMA 2018 conference Link
Romo, J. New developments on robustness and functional data analysis. CMStatistics. Invited session organizer. Pisa, Italy. December, 2018.
Romo, J, Francesca Ieva, Anna Paganoni and Nicholas Tarabelloni. On robust nonparametric techniques for dealing with the analysis of high dimensional data CMStatistics. Invited session. Pisa, Italy. December, 2018.
Romo, J. Recent advances in complex data analysis. 4th Conference of the International Society for Nonparametric Statistics. Invited session organizer. Salerno, Italy. June, 2018.
Taskinen, S. (2018): Blind source separation based on robust autocovariance matrices, Mathematical Days, Joensuu, Finland, 4.1.2018.
Taskinen, S. (2018): Generalized linear latent variable models in the analysis of multivariate abundance data, Workshop on multivariate data analysis and software, Cyprus, 5.4.2018.
Taskinen, S. (2018): gllvm - an R package for visualisation and analysis of multivariate abundance data, DSSV, TU Vienna, 9.7.2018.
Taskinen, S. (2018): Generalized linear latent variable models in the analysis of multivariate abundance data - the fourth-corner models, CMStatistics18, Pisa, 15.12.2018.
Peter Winker (2018): Comparing trends in topics in economic journals overtime. Compstat 2018, 31.8.2018, Iasi.
Peter Winker (2018): Comparing trends in topics in economic journals overtime, 45th Macromodels International Conference, Zakopane, November 2018
Peter Winker (2018): Comparing the relevance of topics in economic journals, 12th International Conference on Computational and Financial Econometrics (CFE 2018), Pisa, 14.12.2018

Projects (2018)

Carmen Cadarso Suarez, Flexible Joint Modelling in diabetes, cardiovascular disease and cancer (JOINTDIAB). Funding Entity: Ministry of Economy and Competitiveness (SPAIN). Call: Research Societal Challenges-R&D Projects. Principal Investigator (PI): Carmen Cadarso SuÃ¡rez. Duration of the project: 2018-2021.
Ana Colubi, Spanish national project. Efficient statistical analysis with non-standard structures. Other COST researchers: Gil GonzÃ¡lez-RodrÃguez, Corsino Rey, M. Brigida Ferraro, Erricos Kontoghiorghes, Panagiotis Paoullis. Link
Rozenn Dahyot, ADAPT is a dynamic Research Centre in Dublin with experts producing ground-breaking digital content innovations. It is funded by Science Foundation Ireland. Link Database Link
F Marta L Di Lascio, National PRIN Project (Ex 40\%), "Hi-Di NET: Econometric Analysis of High Dimensional Models with Network Structures in Macroeconomics and Finance". Coordinator: Prof. M. Billio.
F Marta L Di Lascio, Research project "The use of Copula for the Analysis of Complex and Extreme Energy and Climate data (CACEEC)", Internal call, Free University of Bozen-Bolzano (Italy).
F Marta L Di Lascio, Member of the research project "HIgh-Performance statistical methods for Spatio-Temporal Environmental and econometRic data (HIPSTER)", CRC-ID call 2018, Free University of Bozen-Bolzano (Italy). PI: Prof. D. Ferrari.
F Marta L Di Lascio, Member of the of the project "First Euregio Summer School in Data Science and Statistics for the Social Sciences" for the organization of a school at the Free University of Bozen-Bolzano,, Italy, 2019. Coordinator: Davide Ferrari, Free University of Bozen-Bolzano, Italy, Partner n.1: Claudio Agostinelli, University of Trento, Italy. Partner n.2: Nikolaus Umlauf, University of Innsbruck, Austria.
Elena Fernandez Iglesias, Submission of a research proposal (It will have the collaboration of Roland Fried) to Research National Agency (Spain) I+D+i RETOS Research, titled: DAM IMPACT ON SEDIMENT AVAILABILITY IN COASTAL SAND SYSTEMS ALONG THE CANTABRIC COAST OF SPAIN. Currently pending.
Ateneo 2018 project, Sapienza University of Rome. "Clustering methods for complex, high-dimensional, data" (P.I.: Marco AlfÃ², Sapienza University of Rome) Members: Maria Brigida Ferraro (Sapienza University of Rome), Ana Colubi (University of Oviedo), Ana Belen Ramos-Guajardo (University of Oviedo)
Milan Gocic, Development of master curricula for natural disasters risk management in Western Balkan countries (NatRisk) Link
Milan Gocic, Strengthening of master curricula in water resources management for the Western Balkans HEIs and stakeholders (SWARM)
Milan Gocic, Projected changes of hydrological hazards (extreme precipitation and drought) in Hungary and Serbia
Gil Gonzalez-Rodriguez, Co-principal investigator (with Ana Colubi) of the national research project "Efficient statistical analysis with no-standard structures" (2018-2021). Researchers: Corsino Rey, Ana BelÃ©n Ramos Guajardo, Panaglotis Paoullis, MarÃa BrÃgida Ferraro, Erricos Kontoghiorghes
Stella Hadjiantoni, Co-Investigator - Knowledge Transfer Partnership to develop a risk management product that will enable businesses to mitigate risk associated with their energy positions.
Karel Hron, Application of a novel compositional data analysis approach for the evaluation of combined effects of 24-hour lifestyle behaviors on childhood obesity. Czech Science Foundation 18-09188S. PI Ales Gaba, Palacky University, Olomouc Link
ECOST-STSM-IC1408-41039 STSM title: Robust methods for High-dimensional Problems Home institution: University of Geneva, Geneva, CH (Elvezio Ronchetti) Host institution: Uniwersytet Wroclawski, Wroclaw, 50-384, Poland (Malgorzata Bogdan) STSM start and end date: 2018-11-05 - 2018-11-09
Daniela Zaharie, National project: Bioeconomic approach to antimicrobial agents - use and resistance (RO - PN-III-P1-1.2-PCCDI-2017-0361), 2018-2020. Aim: statistical analysis of data related to antimicrobial resistance. Link

Software (2018)

M. Hofmann, C. Gatu, E.J. Kontoghiorghes, A. Colubi, A. Zeileis. lmSubsets: Exact Variable-Subset Selection in Linear Regression. R package for exact and approximation algorithms for variable-subset selection in ordinary linear regression models. Either compute all submodels with the lowest residual sum of squares, or determine the single-best submodel according to a pre-determined statistical criterion. Link
Marco Riani, Release 2018 of FSDA toolbox Link
Nicholas Tarabelloni, Ana Arribas-Gil, Francesca Ieva, Anna Maria Paganoni, Juan Romo and Francesco Palma. Robust Analysis of High Dimensional Data Link
Romo, J., Francesca Ieva, Anna Maria Paganoni and Nicholas Tarabelloni. (2018). Roahd package: robust analysis of high dimensional data Link Database Link
Software for the paper "Tavares, A.H., Raymaekers, J., Rousseeuw, P.J., Brito, P., Afreixo, V. (2018). Clustering genomic words in human DNA using peaks and trends of distributions" Link
Sofware for the paper "Hubert, M., Rousseeuw, P.J., Van den Bossche, W. (2018). MacroPCA: An all-in-one PCA method allowing for missing values as well as cellwise and rowwise outliers. Technometrics, in press" Link
Software for the paper â€œRousseeuw, P.J., Raymaekers, J., Hubert, M. (2018). A measure of directional outlyingness with applications to image data and video. Journal of Computational and Graphical Statistics, 27, 345-359" Link
Software for the paper â€œRousseeuw, P.J., Van den Bossche, W. (2018). Detecting deviating data cells. Technometrics, 60, 135-145" Link
Stefan Van Aelst, R functions (FRPCA) for the calculation of robust subspace estimators for high-dimensional data. Link

Reports (2018)

Abbas, S., Fried, R., Heinrich, J., Horn, M., Jakubzik, M., Kohlenbach, J., Maurer, R., Michels, A., MÃ¼ller, C. H. (2018). Detection of anomalous sequences in crack data of a bridge monitoring. Discussion Paper / SFB 823 (Vol. 2018, 29). Dortmund. doi: Link
Gomes, M.I. (2018). The Role of Generalized Means in Multivariate Extreme Value Analysis. Preprint associated with an invited talk at 1st CRoNoS Workshop on Multivariate Data Analysis and Software, Limassol, Cyprus, 3-5 April, 2018. Link
Gomes, M.I. (2018). New Challenges in Extreme value Computational Statistical Modeling and Risk Assessment. Preprint associated with a talk at IASI CRoNoS Meeting, Iasi, Romania, January 27-28. Link
Gomes, M.I. (2018). An Overview of Generalized Means, Bias Reduction and Linear Combinations in the Estimation of Heavy Tails. Preprint associated with Plenary talk at International Conference on Advances in Interdisciplinary Statistics and Combinatorics, Greensboro, USA Link
Gomes, M.I., Caeiro, F., Figueiredo, F., Henriques-Rodrigues. L. & Pestana, D. (2018). Reduced-Bias and Partially Reduced-Bias Mean-of-order-p Value-at-Risk Estimation: a Monte-Carlo Comparison and an Application. Link
Sandra Paterlini, Kremer, Philipp, Lee, Sangkyun, BOGDAN, Malgorzata, PATERLINI, Sandra (2017). Sparse Portfolio Selection via the Sorted L1 - Norm Link
Schubert, E., Rousseeuw, P.J. (2018). Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms Link
Tavares, A.H., Raymaekers, J., Rousseeuw, P.J., Brito, P., Afreixo, V. (2018). Clustering genomic words in human DNA using peaks and trends of distributions. Link Database Link
D. Lenz and P. Winker (2018): â€œMeasuring the Diffusion of Innovations with Paragraph Vector Topic Modelsâ€œ, MAGKS Joint Discussion Paper Series in Economics No. 15-2018, Marburg. Link

Others (2018)

E. Cantoni and X. de Luna (2018) Robust semiparametric inference with missing data, arXiv:1803.08764 Link
Eva Cantoni, Session entitled "Recent advances in robust modelling" (speakers: B. Hansen, R. Radice, X. de Luna, S. Ranjbar) at CMStatistics 2018, 14-16 December, Pisa. Link
I. C. Demetriou. Academic Visitor, Hong Kong Baptist University (invited by Professor Hermann Bruner). Also, a talk was given, "Least Squares Piecewise Monotonic Data Approximation: Algorithms and Applications" (presented at the Department of Mathematics, March 20, 2018).
Elena Fernandez Iglesias, Fernandez-Iglesias, E.; Fried, R.; Marquinez, J. (2018). Analysis of daily rainfall series in NW Spain: Searching for evidence of climatic change. 2nd International Conference on Econometrics and Statistics, 19-21 June, Hong kong. BoA, p.40. Link
Maria Brigida Ferraro, COST Action IC1408 grant for a Short Term Scientic Mission within the COST scientific programme April 2018 (in collaboration with Prof. Gil Gonzalez-Rodriguez, University of Oviedo, Asturias, Spain)
Cristian Gatu, Data publicly available trough the "lmSubsets" R package: IbkTemperature (1824 observations and 42 variables). Description: 00UTC temperature observations and corresponding 24-hour reforecast ensemble means from theGlobal Ensemble Forecast System (GEFS, Hamill et al. 2013) for SYNOP station Innsbruck Airport(11120; 47.260, 11.357) from 2011-01-01 to 2015-12-31 Link
Cristian Gatu, Data publicly available trough the "lmSubsets" R package: IbkTemperature (1824 observations and 42 variables). Description: 00UTC temperature observations and corresponding 24-hour reforecast ensemble means from theGlobal Ensemble Forecast System (GEFS, Hamill et al. 2013) for SYNOP station Innsbruck Airport(11120; 47.260, 11.357) from 2011-01-01 to 2015-12-31 Link
Cristian Gatu, Local organization of the Management Committee and Working Groups meetings, Iasi, Romania, 27-28 January 2018. Link
Maria Dolores Jimenez-Gamero, Seminar: Testing goodness-of-fit for GARCH models. Organized by: Facultad de Ciencias Exactas y Naturales de la Universidad de Buenos Aires (Argentina) February 2018
Maria Dolores Jimenez-Gamero, Seminar: A characterization of multinormality and corresponding tests of fit for i.i.d. and GARCH data. Organized by Grupo SIDOR, Universidad de Vigo, July 2018

Journal paper (2017)

Eric Beutner; Laurent Bordes; Laurent Doyen (2017). The failure of the profile likelihood method for a large class of semi-parametric models. Bernoulli 23, 3650-3684.
Eric Beutner; Simon Reese, Jean-Pierre Urbain (2017). Identifiability issues of ageâ€“period and ageâ€“periodâ€“cohort models of the Leeâ€“Carter type, Insurance: Mathematics and Economics, 75, 117-125.
D. Brzyski, C. B. Peterson, P. Sobczyk, E J. Candes, M. Bogdan, C. Sabatti -- Controlling the rate of GWAS false discoveries, Genetics, 205, 61--75, 2017. Link
W.Su, M. Bogdan, E.J.Candes -- False discoveries occur early on the Lasso path, Annals of Statistics, 45 (5), 2133 -- 2150, 2017 Link
P. Sobczyk, M. Bogdan, J. Josse, "Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood", Journal of Computational and Graphical Statistics, 26, 826--839, 2017. Link
Carmen Cadarso Suarez, Guler I., Faes C.,Teixeira L., Rodrigues A., Mendonca, D. (2017) Two-stage model for multivariate longitudinal and survival data with application to nephrology research. Biometrical Journal, 59: 1204â€“1220. Link
Carmen Cadarso Suarez, RodrÃguez-Ãlvarez M. X., Roca-PardiÃ±as J., & Tahoces P. G. (2017). Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis. Statistical methods in medical research, 27: 740-764. Link
Carmen Cadarso Suarez, RÃos-Pena L., Kneib T., & Marey-PÃ©rez M. (2017). Predicting the occurrence of wildfires with binary structured additive regression models. Journal of environmental management, 187: 154-165. Link
W. H. Aeberhard, E. Cantoni and S. Heritier. (2017). Saddlepoint tests for accurate and robust inference on overdispersed count data. Computational Statistics & Data Analysis, 107, 162-175 Link
Hall M, Caton S (2017) Am I who I say I am? Unobtrusive self-representation and personality recognition on Facebook. PLoS ONE 12(9): e0184417. https://doi.org/10.1371/journal.pone.0184417 Link
Gonzalez-rodriguez, G. and Colubi, A. (2017). On the consistency of bootstrap methods in separable Hilbert spaces. Econometrics and Statistics 1, 118â€“127. Link
Kontoghiorghes, E., Van Dijk H.K., Colubi, A. (2017). Econometrics and Statistics (editorial). Econometrics and Statistics 1, 1. Link
Reusens, P. and Croux, C. (2017), â€Sovereign credit rating determinants: a comparison before and after the European debt crisisâ€, Journal of Banking and Finance, to appear.Â
Wilms I. and Croux C. (2017). An algorithm for the multivariate group lasso with covariance estimation. Journal of Applied Statistics, to appear.
R. PappadÃ , F. Durante, and G. Salvadori. Quantification of the environmental structural risk with spoiling ties: is randomization worthwhile? Stoch. Environ. Res Risk Asess., 31(10):2483â€“2497, 2017. DOI: 10.1007/s00477-016-1357-9.
M. Disegna, P. Dâ€™Urso and F. Durante. Copulaâ€“based fuzzy clustering of spatial time series. Spat. Stat., 21:209â€“225, 2017. DOI: 10.1016/j.spasta.2017.07.002.
Einbeck, Jochen & Meintanis, Simos (2017). Selfâ€“consistencyâ€“based tests for bivariate distributions. Journal of Statistical Theory and Practice 11(3), 478-492 Link
Ferraro, M.B., On the generalization performance of a regression model with imprecise elements. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, 723-740 Link
Ferraro, M.B., Giordani, P., Possibilistic and fuzzy clustering methods for robust analysis of non-precise data. International Journal of Approximate Reasoning 88, 23-38
A. Zullo, M. Fauvel, F. Ferraty. Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image. Journal of Applied Statistics (to appear - https://doi.org/10.1080/02664763.2017.1414162)
F. Ferraty, A. Zullo, M. Fauvel. Nonparametric regression on contaminated functional predictor with application to hyperspectral data. Econometrics and Statistics (to appear - http://dx.doi.org/10.1016/j.ecosta.2017.02.004).
T. Liboschik, K. Fokianos, R. Fried (2017), "Tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models, Journal of Statistical Software, 2016.Preprint: http://dx.doi.org/10.17877/DE290R-7239. Link
M. Wornowizki, R. Fried, S.G. Meintanis (2017), "Fourier methods for analyzing piecewise constant volatilities", AStA Advances in Statistical Analysis, July 2017, Volume 101, Issue 3, pp 289â€“308 Link
S. Abbas, R. Fried (2016), "Control Charts for the Mean Based on Robust Two-Sample Tests", Journal of Statistical Computation and Simulation, vol. 87 no. 1, pages 138-155, 2017. Preprint: http://dx.doi.org/10.17877/DE290R-16999 Link
R. Fried, S. Abbas, M. Borowski, M. Imhoff (2017), "Online Analysis of Medical Time Series", Statistics and Its Application, vol. 4, pages 169 - 188, 2017 Link
P. Kinsvater, R. Fried (2017), "Conditional Heavy-Tail Behavior with Applications to Precipitation and River Flow Extremes", Stochastic Environmental Research and Risk Assessment, pages 1155 -1169, 2017 Link
Alexander DÃ¼rre, Roland Fried and Daniel Vogel. The spatial sign covariance matrix and its application for robust correlation estimation. Austrian Journal of Statistics, vol. 46,No 3-4, pages 13-22, 2017 Link
Sermad Abbas and Roland Fried. Control Charts for the Mean Based on Robust Two-Sample Tests. Journal of Statistical Computation and Simulation, vol. 87 no. 1, pages 138-155, 2017 Link
R. Kluger, K.R. Huber, P.G. Seely, C.E. Berger, F. Frommlet (2017) Novel Tenascin-C Haplotype Modifies the Risk for a Failure to Heal After Rotator Cuff Repair, Am J Sports Med., doi: 10.1177/0363546517729810 Link
Figueiredo, F. Gomes, M.I. and Henriques-Rodrigues, L. (2017). Value-at-risk estimation and the PORT mean-of-order-p methodology. Revstat 15:2, 187-204. Link
Hadjiantoni, S. and Kontoghiorghes E. (2017). Estimating large-scale general linear and seemingly unrelated regressions models after deleting observations, Statistics and Computing, 27 (2), 349-361.
Templ, M., Hron, K., Filzmoser, P. Exploratory tools for outlier detection in compositional data with structural zeros. Journal of Applied Statistics, 44 (2017), No. 4, 734-752. Link Database Link
WeinerovÃ¡, H., Hron, K., BÃ¡bek, O., Å imÃÄek, D., Hladil, J. Quantitative allochem compositional analysis of Lochkovian-Pragian boundary sections in the Prague Basin (Czech Republic). Sedimentary Geology, 354 (2017), 43-59. Link
Hron, K., Brito, P., Filzmoser, P. Exploratory data analysis for interval compositional data. Advances in Data Analysis and Classification, 11 (2017), No. 2, 223-241. Link Database Link
Hron, K., Filzmoser, P., Caritat, P. de, FiÅ¡erovÃ¡, E., Gardlo, A. Weighted pivot coordinates for compositional data and their application to geochemical mapping. Mathematical Geosciences, 49 (2017), No. 6, 797-814. Link
KynÄlovÃ¡, P., Hron, K., Filzmoser, P. Correlation between compositional parts based on symmetric balances. Mathematical Geosciences, 49 (2017), No. 6, 777-796. Link Database Link
HrÅ¯zovÃ¡, K., Rypka, M., Hron, K. Compositional analysis of trade flows structure. Austrian Journal of Statistics, 46 (2017), No. 2, 49-63. Link Database Link
Reimann, C., Filzmoser, P., Hron, K., KynÄlovÃ¡, P., Garrett, R. A new method for correlation analysis of compositional (environmental) data â€“ a worked example. Science of the Total Environment, 607-608 (2017), 965-971. Link Database Link
Francq C., Jimenez-Gamero M.D., Meintanis S.G., Tests for sphericity in multivariate GARCH models. Journal of Econometrics, 196, 305--319
M.V. Alba-FernÃ¡ndez, A Batsidis, MD Jimenez-Gamero, P. JodrÃ¡. A class of tests for the two-sample problem for count data. Journal of Computational and Applied Mathematics, 318 (2017) 220-229.
M.D. Jimenez-Gamero, M.V. Alba-FernÃ¡ndez, P. JodrÃ¡, I. Barranco-Chamorro. Fast tests for the two-sample problem based on the empirical characteristic function. Mathematics and Computers in Simulation}, 137 (2017) 390-410.
M.D. Jimenez-Gamero, J.C. Pardo-FernÃ¡ndez. Empirical characteristic function tests for GARCH innovation distribution using multipliers. Journal of Statistical Computation and Simulation, 87 (2017) 2069-2093. Database Link
M.D. Jimenez-Gamero, A. Batsidis. Minimum distance estimators for count data based on the probability generating function with applications. Metrika, 80 (2017) 503-545.
G.I. Rivas-MartÃnez, M.D. Jimenez-Gamero. A weighted bootstrap approximation for comparing the error distributions in nonparametric regression. Journal of Statistical Computation and Simulation, vol 87 (2017) 3503-3520.
P. JodrÃ¡, H. GÃ³mez, M.D. Jimenez-Gamero, MV Alba-FernÃ¡ndez. (2017) The power Muth distribution. Mathematical Modelling and Analysis, 22 186--201
G.I. Rivas-MartÃnez, M.D. Jimenez-Gamero, J.L. Moreno Rebollo. (2017) A two-sample test for the error distribution in nonparametric regression. Statistical Papers Link
E. Atanassov, T. Gurov, S. Ivanovska, A. Karaivanova, Parallel Monte Carlo on Intel MIC Architecture (2017) Procedia Computer Science 108, 1803-1810.
Gurov, T., Atanassov, E., Karaivanova, A., Serbezov, R., Spassov, N.. Statistical Estimation of Brown Bears (Ursus arctos L.) Population in the Rhodope Mountains. Procedia Computer Science, 108, Elsevier, 2017, ISSN:1877-0509, DOI:10.1016/j.procs.2017.05.272, 2028-2037. SJR:0.258 Link
A. BÃ¼cher, P. Kinsvater and I. Kojadinovic (2017). Detecting breaks in the dependence of multivariate extreme-value distributions. Extremes 20:1, 53-89. Link
Kojadinovic, I. (2017). Some copula inference procedures adapted to the presence of ties. Computational Statistics and Data Analysis 112, 24-41. Link
I. Kojadinovic and P. Naveau (2017), Detecting distributional changes in samples of independent block maxima using probability weighted moments, Extremes 20:2, pages 417-450 Link
Agostinelli C., Locatelli I., Marazzi A., Yohai V.J. Robust estimators of accelerated failure time regression with generalized log-gamma errors. Computational Statistics and Data Analysis (2017), 107, 92-106.
Miettinen, J., Nordhausen, K., Oja, H., Taskinen, S. and Virta, J. (2017): The Squared Symmetric FastICA Estimator. Signal Processing, 131, 402-411.
Miettinen, J., Nordhausen, K. and Taskinen, S. (2017): Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp. Journal of Statistical Software, 76, 1-31. Link
Virta, J., Li, B., Nordhausen, K. and Oja, H. (2017). Independent Component Analysis for Tensor-Valued Data. Journal of Multivariate Analysis, 162, 172-192.
Matilainen, M., Croux, C., Nordhausen, K. and Oja, H. (2017). Supervised Dimension Reduction for Multivariate Time Series. Econometrics and Statistics, 4, 57-69.
Virta, J. and Nordhausen, K. (2017). Blind Source Separation of Tensor-Valued Time Series. Signal Processing, 141, 204-216.
Nordhausen, K., Oja, H., Tyler, D.E. and Virta, J. (2017). Asymptotic and Bootstrap Tests for the Dimension of the Non-Gaussian Subspace. Signal Processing Letters, 24, 887-891.
Matilainen, M., Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2017). On Independent Component Analysis and Stochastic Volatility Models. Austrian Journal of Statistics, 46, 57-66. Link
Fischer, D., Honkatukia, M., Tuiskula-Haavisto, M., Nordhausen, K., Cavero, D., Preisinger, R. and Vilkki, J. (2017). Subgroup Detection in Genotype Data Using Invariant Coordinate Selection. BMC Bioinformatics, 18, 173. Link
Bonaccolto, G., Caporin, M. and S.Paterlini Asset allocation strategies based on penalized quantile regression Computational Management Science, (), 1-32 10.1007/s10287-017-0288-3 Link
Sandra Paterlini, Kremer, Philipp, Talmaciu, Andrea, PATERLINI, Sandra (2017). Risk minimization in multi-factor portfolios: What is the best strategy?. ANNALS OF OPERATIONS RESEARCH, vol. 2017 10.1007/s10479-017-2467-6, p. 1-37, ISSN: 1572-9338
Marco Riani, ERIOLI A., RIANI M., ATKINSON A.C., CORBELLINI A., (2017). The power of monitoring: how to make the most of a contaminated multivariate sample, Statistical Methods and Applications (rejoinder) Link
Marco Riani, CERIOLI A., GARCÃA-ESCUDERO L.A., MAYO-ISCAR A., RIANI M (2017). Finding the number of normal groups in model-based clustering via constrained likelihoods. Journal Computational Graphical Statistics, p. 404-416 Link
Marco Riani, CERIOLI A., RIANI M., ATKINSON A.C., CORBELLINI A., (2017). The power of monitoring: how to make the most of a contaminated multivariate sample, Statistical Methods and Applications (with discussion) Link
Marco Riani, ATKINSON A.C., CORBELLINI A., RIANI M. (2017). Robust Bayesian Regression with the Forward Search: Theory and Data Analysis, Test, n. 26 pp. 869â€“886 Link
Ritz, C.; Laursen, R. P.; Damsgaard, C. T. (2017). Simultaneous inference for multilevel linear mixed models - with an application to a large-scale school meal study. Journal of the Royal Statistical Society, Series C (Applied Statistics), 66, 295-311.
Romo, J., RamÃ³n Flores and Rosa Lillo (2017). Homogeneity test for functional data (2017. Journal of Applied Statistics. Link
Romo, J., Dalia Valencia and Rosa Lillo (2017). Spearmanâ€™s coefficient for functions.
Romo, J. and Ewa Strzalkowska-Kominiak (2017). Censored functional data for incomplete follow-up studies
Ronchetti, E. (2017). Robust estimation of Heckman model. Studies in Computational Intelligence, 692, pp. 3-21
Iannario, M., Monti, A.C., Piccolo, D., Ronchetti, E. (2017). Robust inference for ordinal response models. Electronic Journal of Statistics 11(2), pp. 3407-3445 Link
Hubert, M., Rousseeuw, P.J., and Segaert, P. (2017), "Multivariate and functional classification using depth and distance," Advances in Data Analysis and Classification, in press. Link
Peter Rousseeuw, Hubert, M., Verdonck, T., Yorulmaz, O. (2017). Fast robust SUR with economical and actuarial applications. Statistical Analysis and Data Mining, 10, 77-88. Link
Niku, J., Warton, D.I., Hui, F.K,C and Taskinen, S. (2017), Generalized linear latent variable models for multivariate count and biomass data in ecology, Journal of Agricultural, Biological, and Environmental Statistics, 22, 498-522. Database Link
Hui, F.K.C., Warton, D.I., Ormerod, J., Haapaniemi, V. and Taskinen, S. (2017), Variational approximations for generalized linear latent variable models, Journal of Computational and Graphical Statistics, 26 , 35-43
M. Schreyer, R. Paulin, W. Trutschnig (2017). On the exact region determined by Kendall's tau and Spearman's rho. Journal of the Royal Statistical Society: Series B (Statistical Methodology), doi:10.1111/rssb.12181 Link
S. Pittner, B. Ehrenfellner, A. Zissler, V. Racher, W. Trutschnig, A.C. Bathke, A.M. SÃ¤nger, W. Stoiber, P. Steinbacher, F.C. Monticelli (2017). First application of a protein based approach for time since death estimation. International Journal of Legal Medicine, doi:10.1007/s00414-016-1459-4. Link
Peremans, K., Segaert, P., Van Aelst, S., Verdonck, T. (2017). Robust bootstrap procedures for the chain-ladder method. Scandinavian Actuarial Journal, 2017 (10), 870-897. Link
D. Grabowski, A. Staszewska-Bystrova and P. Winker (2017): â€œGenerating prediction bands for path forecasts from SETAR modelsâ€, Studies in Nonlinear Dynamics & Econometrics, forthcoming. Doi: 10.1515/snde-2016-0066.
H. LÃ¼tkepohl, A. Staszewska-Bystrova and P. Winker (2017): â€œEstimation of Structural Impulse Responses: Short-Run versus Long-Run Identifying Restrictionsâ€, AStA Advances in Statistical Analysis, forthcoming. Doi: 10.1007/s10182-017-0300-9.
H. LÃ¼tkepohl, A. Staszewska-Bystrova and P. Winker (2017): H. LÃ¼tkepohl, A. Staszewska-Bystrova and P. Winker (2017): â€œCalculating Joint Confidence Bands for Impulse Response Functions using Highest Density Regionsâ€, Empirical Economics, forthcoming. Doi: 10.1007/s00181-017-1325-3.
Young GA, Kuffner TA, DiCiccio TJ, 2017, The formal relationship between analytic and bootstrap approaches to parametric inference, Journal of Statistical Planning and Inference, Vol: 191, Pages: 81-87, ISSN: 0378-3758 Link

Contribution in book (2017)

Batagelj, V. (2017): Python Packages for Networks. Encyclopedia of Social Network Analysis and Mining. Reda Alhajj, Jon Rokne (Eds.), Springer, 20 December 2017 Link
Batagelj, V., CerinÅ¡ek, M. (2017): Sources of Network Data. Encyclopedia of Social Network Analysis and Mining. Reda Alhajj, Jon Rokne (Eds.), Springer, 20 September 2017 Link
E.G.Bongiorno, A.Goia. Density based classification methods for functional data. In the "CLADAG 2017. Book of Short Papers", (F.~Greselin et al. Ed.s) Universitas Studiorum, Mantova, Italy, 2017.
Aubin, J.B., Bongiorno, E.G., Goia, A. An asymptotic factorization of the Small-Ball Probability: theory and estimates. In ``Functional Statistics and Related Fields'', (G.Aneiros et al. Ed.s), Springer, Cham., 2017, 45-50 (doi: 10.1007/978-3-319-55846-2_7).
Aubin, J.B., Bongiorno, E.G., Goia, A. An asymptotic factorization of the Small-Ball Probability: theory and estimates. In ``Functional Statistics and Related Fields'', (G.Aneiros et al. Ed.s), Springer, Cham., 2017, 45--50 (doi: 10.1007/978-3-319-55846-2\_7).
Bongiorno, E.G., Goia, A., Vieu, P. On the Geometric Brownian Motion assumption for financial time series. In ``Functional Statistics and Related Fields'', (G.Aneiros et al. Ed.s), Springer, Cham., 2017, 59-65 (doi: 10.1007/978-3-319-55846-2_9) Database Link
Aneiros, G., Bongiorno, E.G., Cao, R., Vieu, P. An introduction to the 4th edition of the International Workshop on Functional and Operatorial Statistics. In ``Functional Statistics and Related Fields'', (G.Aneiros et al. Ed.s), Springer, Cham., 2017, 1-5 (doi: 10.1007/978-3-319-55846-2_1)
F.M.L. Di Lascio, F. Durante, and P. Jaworski. A test for truncation invariant dependence (2017). In: M.B. Ferraro, P. Giordani, B. Vantaggi, M. Gagolewski, M.A. Gil, P. Grzegorzewski, and O. Hryniewicz, editors, Soft Methods for Data Science (ISBN: 978-3-319-42971-7). Advances in Intelligent Systems and Computing, volume 456: 187-195. Springer International Publishing.
M. Disegna, F. Durante, and E. Foscolo. A multivariate analysis of tourists-spending behaviour. In M.B. Ferraro, P. Giordani, B. Vantaggi, M. Gagolewski, M.A. Gil, P. Grzegorzewski, and O. Hryniewicz, editors, Soft Methods for Data Science (ISBN: 978-3-319-42971-7), volume 456 of Advances in Intelligent Systems and Computing, pages 187-195. Springer International Publishing, 2017.
F.M.L. Di Lascio, F. Durante, and R. PappadÃ . Copulaâ€“based clustering methods. In M. Ãšbeda Flores, E. de Amo, F. Durante, and J. FernÃ¡ndez SÃ¡nchez, editors, Copulas and Dependence Models with Applications (ISBN: 978-3-319-64220-8). Springer International Publishing, pages 49â€“67, 2017.
H. Wang, R. Pappada, F. Durante, and E. Foscolo (2017). A portfolio diversification strategy via tail dependence clustering. In: M.B. Ferraro, P. Giordani, B. Vantaggi, M. Gagolewski, M.A. Gil, P. Grzegorzewski, and O. Hryniewicz, editors, Soft Methods for Data Science (ISBN: 978-3-319-42971-7). Advances in Intelligent Systems and Computing, Volume 456: 511-518. Springer International Publishing.
Gomes, M.I., Reis, P., Canto e Castro, L. and Dias, S. (2017). Penultimate approximations in extreme value theory and reliability of large coherent systems. In Christos H. Skyadas (ed.), Proceedings of the 17th Conference of the Applied Stochastic Models and Data Analysis International Conference (ASMDA 2017), pp. 431-442. Link
Lietzen, N., Nordhausen, K. and Ilmonen, P. (2017). Complex Valued Robust Multidimensional SOBI. In Tichavsky P., Babaie-Zadeh M., Michel O. and Thirion-Moreau N. (editors) â€œLatent Variable Analysis and Signal Separationâ€, LNCS 10169, 131-140, Springer, Cham.
Virta, J. and Nordhausen, K. (2017). On the Optimal Nonlinearities for Gaussian Mixtures in FastICA. In Tichavsky P., Babaie-Zadeh M., Michel O. and Thirion-Moreau N. (editors) â€œLatent Variable Analysis and Signal Separationâ€, LNCS 10169, 427-437, Springer, Cham.
Virta, J. and Nordhausen, K. (2017): Blind Source Separation For Nonstationary Tensor-Valued Time Series. Proceedings of the 27th International IEEE Workshop on Machine Learning for Signal Processing (MLSP), 1-6.
Sinova, B. and Van Aelst, S. (2017), Tukey's Biweight Loss Function for Fuzzy Set-Valued M-estimators of Location, in Soft Methods for Data Science, eds. M.B. Ferraro, P. Giordani, B. Vantaggi, M. Gagolewski, M. A. Gil, P. Grzegorzewski, and O. Hryniewicz, Springer, Cham, 447--454. Database Link

Conference presentation (2017)

Batagelj, V. (2017): Symbolic networks and big data. CRoNoS COST Action Working Groups Meeting, Institute Tinbergen, Amterdam, Netherlands, 1-2. September 2017 Link
Eric Beutner; Eric Beutner; Laurent Bordes; Laurent Doyen (2017). Semi-parametric inference for effective age models when the age function is specified parametrically, MMR 2017, Grenoble, 1-4 July.
Enea Bongiorno, (POSTER) 15-18/06/2017, A Coru\~{n}a, Spain. ``Forth International Workshop on Functional and Operatorial Statistics (IWFOS 2017)''
Enea Bongiorno, 12-15/09/2017, Milan, Italy. ``CLAssification and Data Analysis Group meeting (CLADAG 2017)''.
Enea Bongiorno, 16-18/12/2017, London, UK. ``10th International Conference of the ERCIM Working Group on Computational and Methodological Statistics (CMStatistics 2017)'' (ERCIM: European Research Consortium for Informatics and Mathematics).
Carmen Cadarso Suarez, EspasandÃn-Dominguez, J; Oliveira P; Vila I; Cotter J; Cunha P (2017) Bivariate Copula Regression models in cardiovascular disease. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London (UK).
Carmen Cadarso Suarez, EspasandÃn-DomÃnguez, J;Kneib, T; Gude, F.(2017) Continuous glucose monitoring using Distributional Regression models. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London (UK).
Carmen Cadarso Suarez, Guler I; Faes C; Gude F. (2017). Flexible two-stage model proposal for multivariate longitudinal and survival data using spline smoothing. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London (UK).
Carmen Cadarso Suarez, Gude F; Guler I; Faes C (2017).Recent developments on joint modelling for longitudinal and survival data: Applications to biomedicine. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London (UK).
Carmen Cadarso Suarez, Duarte E, de Sousa B, Marra G, Radice R, Rodrigues V (2017) Modelling the early menarche and late menopause in breast cancer screening through CGAMLSS models. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London (UK).
I. C. Demetriou. "Infant Mortality and Economic Growth: Modeling by Increasing Returns and Least Squares". COST Meeting Limassol, April 8-10, 2017.
I. C. Demetriou. "Least Squares Piecewise Monotonic Data Approximation: Algorithms, Software and Applications", presented in Conference on Approximation and Optimization: Algorithms, Complexity and Applications, June 29-30, 2017, Athens, Greece.
I. C. Demetriou. "Infant Mortality and Economic Growth: Modeling by Increasing Returns and Least Squares Analytics on 132 Countries during 1998-2014", presented at WCE ICCSDE, 4-7 July 2017.
Fabrizio Durante, Invited talk. Copulas for nonâ€“continuous random vectors, special invited session on â€œDependence modelingâ€ at the First Italian Meeting on Probability and Mathematical Statistics , Torino (Italy), 19â€“22 June 2017.
Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, and Maxim Naumov. 2017. Parallel jaccard and related graph clustering techniques. In Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA '17). ACM, New York, NY, USA, Article 4, 8 pages. DOI: https://doi.org/10.1145/3148226.3148231
Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov, Parallel Modularity Clustering, Procedia Computer Science, Volume 108, 2017, Pages 1793-1802, ISSN 1877-0509 Link
I. Mehrez, O. Hamdi-Larbi, T. Dufaud and N. Emad, "Understanding the Performances of Sparse Compression Formats Using Data Parallel Programming Model," 2017 International Conference on High Performance Computing & Simulation (HPCS), Genoa, 2017, pp. 667-674. 10.1109/HPCS.2017.103
Joachim Protze, Christian Terboven, Matthias S. MÃ¼ller, Serge Petiton, Nahid Emad, Hitoshi Murai, and Taisuke Boku. 2017. Runtime Correctness Checking for Emerging Programming Paradigms. In Proceedings of the First International Workshop on Software Correctness for HPC Applications (Correctness'17). ACM, New York, NY, USA, 21-27. DOI: https://doi.org/10.1145/3145344.3145490
Elena Fernandez Iglesias, E. Fernandez, Gonzalez-Rodriguez, G., Marquinez, J. and Fernandez Maria (2017). Evolution in the relation between rainfall and fluvial discharge since 1970 in Esva Basin (NW Spain). Poster presentation, CMStatistics 2017, London, UK, December Database Link
Ferraro, M.B., AlfÃ², M., Giordani, P., Model-based and fuzzy clustering algorithms: A comparative simulation study Link
Ferraro, M.B., AlfÃ², M., Giordani, P., Model-based and fuzzy clustering algorithms: A comparative simulation study. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), University of London, UK, 16-18 December 2017. Link
Hubin A., Storvik G., Frommlet F. (2017) Bayesian model selection in logic regression, CMStatistics, London, December 16
Hubin A., Storvik G., Frommlet F. (2017) Bayesian model selection in logic regression, European Meeting of Statisticians, Helsinki, July 24
Hubin A., Storvik G., Frommlet F. (2017) Bayesian model selection in logic regression, CMStatistics, London, December 16
AN Nikolakopoulos, V Kalantzis, E Gallopoulos, JD Garofalakis (2017) Factored proximity models for top-n recommendations IEEE international conference on big knowledge (ICBK), 80-87, 10.1109/ICBK.2017.14
IE Venetis, V Saltogianni, S Stiros, E Gallopoulos (2017) High performance GPU processing for inversion using uniform grid searches. EGU General Assembly Conference Abstracts 19, 9238 Link
G.-E. Pascaru, C. Gatu. E.J. Kontoghiorghes. Combinatorial strategies for greedy regression selection. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), Senate House, University of London, UK, 16-18 December 2017. Link
Gomes, M.I., Figueiredo, F. & Henriques-Rodrigues, L. (2017). PORT value-at-risk estimation through generalized means. Proceedings of the International Statistical Institute Regional Statistics Conference (available on-line). Link
Brilhante, M.F. (presenter), Gomes, M.I., Pestana, D. & MendonÃ§a, S. (2017). Population dynamics: Risk modeling and extremes in the generalized Verhulst model. In Gil Gonzalez-Rodriguez and Marc Hofmann (eds.), CFE and CMStatistics 2017: programme and Abstracts, p. 110. Link
Gomes, M.I. (2017). Generalized Means and Resampling Methodologies in Statistics of Extremes. Plenary talk at ISTKON 10: 10th International Statistics Congress 2017: Abstract Book, p. 4. Link
Gomes, M.I., Caeiro, F., Neves, M.M. & Penalva, H. (2017). Generalized Means in Statistical Extreme Value Theory. In Gil Gonzalez-Rodriguez and Marc Hofmann (eds.), CFE and CMStatistics 2017: programme and Abstracts, p. 237. Link
K. Hron, A. Menafoglio, P. Filzmoser (2017). Logratio approach to modeling of densities with application to multivariate functional principal component analysis. In ERCIM 2017, London, UK. Link
MD Jimenez-Gamero, M.V. Alba-FernÃ¡ndez. Null Distribution Approximations for a class of statistics for testing independence. International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2017, Rota 4--8 July, 2017
MD Jimenez-Gamero, SG Meintanis, S. Lee. Goodness--of--fit tests for GARCH models. 3nd Workshop on Goodness-of-Fit and Change-point problems, Bad Herrenald (Germany), 8--10 Septiembre, 2017.
MD Jimenez-Gamero, SG Meintanis, S. Lee. Goodness--of--fit tests for GARCH models. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), 16-18 December, 2017.
M.V. Alba-FernÃ¡ndez MD Jimenez-Gamero. Penalized minimum phi-divergence estimators in multinomial models. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), 16-18 December, 2017.
Klaus Nordhausen (2017). Testing the dimension of the non-Gaussian subspace in NGCA. CMStatistics 2017, 16-18 December 2017, London, UK.
Klaus Nordhausen (2017). Multivariate outlier detection with ICS. European Meeting of Statisticians (EMS) 2017, 24-28 July 2017, Helsinki, Finland.
P. Paoullis, A. Colubi, E.J. Kontoghiorghes, Parallel strategies for estimating the vector generalized linear model,CMStatistics 2017, December 16-18, London, UK, Link
Ramos-Guajardo, A.B.; Ferraro, M.B. (2017). Generalization of the Mahalanobis distance for fuzzy data: An application to robust fuzzy clustering. The 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), December 16-18, London, UK. Link
Romo, J., Francesca Ieva and Francesco Palma.A bootstrap approach to the inference on dependence in a multivariate functional setting. 10th International Conference on Computational and Methodological Statistics. Invited session. London, United Kingdom. December, 2017.
Romo, J. Recent developments for complex data. 10th International Conference on Computational and Methodological Statistics. Invited session organizer. London, United Kingdom. December, 2017.
Romo, J., Ana Arribas-Gil and Antonio ElÃas. High-Dimensional Functional Data. Joint Statistical Meetings (JSM 2017). Invited session. Baltimore, EEUU. August, 2017.
Romo, J. Censored functional data (with Ewa Strzalkowska-Kominiak). European Meeting of Statisticians. Helsinki, Finland. July, 2017.
Romo, J.. Ana Arribas-Gil and Antonio ElÃas. Analyzing high-dimensional functional data. ISI Marrakech 2017. Invited session. Marrakech, Morocco. July, 2017.
Romo, J., Ana Arribas-Gil and Antonio ElÃas, High-dimensional functional data. Workshop Peter Rousseeuw- Robust Statistics 2017. Invited session. Lovaina, Belgium. June, 2017.
Ronchetti, E., Robust Estimation of Heckman Model, Keynote talk, Thailand Econometric Society Meeting, Chang Mai, January 2017 Link
Ronchetti, E.; La Vecchia, D. (2017). Saddlepoint Approximations for Short and Long Memory Time Series: A Frequency Domain Approach.10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), 16-18 December, 2017.
Taskinen, S. (2017): Blind source separation based on robust autocovariance matrices, ICORS2017, Wollongong, Australia, 4.7.2017
Taskinen, S. (2017): Blind source separation based on robust autocovariance matrices, French-Finnish Higher Education, Research and Innovation Workshop, Toulouse, France, 2.11.2017.
Taskinen, S. (2017): Comparing estimation methods for generalized linear latent variable models, COMPSTAT2017, London, UK, 18.12.2017.
Wolfgang Trutschnig, Trtschnig, W. (2016). Three copula-based optimization problems and an excursion. CMStatistics 2016, December 09-11 2016, Seville, Spain.
Peremans, K. and Van Aelst, S. Fast and robust model selection criterion in generalized linear models.International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), London, UK, December 16-18, 2017. Link
Verdonck, T., Segaert, P. and Van Aelst, S. Robust joint modeling of mean and dispersion for GLMs. International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), London, UK, December 16-18, 2017. Link

Projects (2017)

Enea Bongiorno, Submission Project. European MSCA funding programme.
Fabrizio Durante, PI of the project "Bounds for Risk Functionals in Dependence Models", sponsored by INdAM - GNAMPA (National Group of Mathematical Analysis, Probability and Their Applications).
UTOPIAE is a European research and training network looking at cutting edge methods bridging optimisation and uncertainty quantification applied to aerospace systems. The network will run from 2017 to 2021, and is funded by the European Commission through the Marie SkÅ‚odowska-Curie Actions of H2020. J. Einbeck is supervisor of ESR9 `Large Scale Simulation for Quantifying Severe Uncertainty with Imprecise Probabilities', co-supervised by Dr M. Troffaes. Link
Elena Fernandez Iglesias, Improvement and sustainable management of river corridors of the Iberian Atlantic Region (2017-2021). LIFE 16 NAT/ES/000771. LIFE programme, European Commission. Link
Maria Brigida Ferraro, Ateneo 2017 project, Sapienza University of Rome. "Model-based dimensionality reduction techniques for high-dimensional data" (P.I.: Francesca Martella, Sapienza University of Rome)
Maria Dolores Jimenez-Gamero, Title: Nuevos avances metodolÃ³gicos y computationales en estadÃstica noparamÃ©trica y semiparamÃ©trica. (2017-2020) Reference: MTM2017-89422-P Granted by: Ministerio de EconomÃa, Industria y Competitividad (EspaÃ±a). Chair: Jacobo de UÃ±a Ãlvarez.
Erricos Kontoghiorghes, European MSCA funding programme (submitted).
Peter Winker, Project funded by the German Federal Ministry of Education and Reserach (BMBF) on "Text based output indicators as contribution to a new innovation metric" 2017 - 2020

Software (2017)

Malgorzata Bogdan, PESEL - R package for the estimation of the number of principal components in PCA: author - Piotr Sobczyk. In collaboration with Julie Josse from Ecole Polytechnique (Poland - France collaborations) Link
A. Duerre, R. Fried, T. Liboschik, J. Rathjens (2017), "robts - robust time series analysis", R-package. Link
Archimbaud, A., May, J., Nordhausen, K. and Ruiz-Gazen, A. (2017). ICSShiny: ICS via a Shiny Application. Link
Sofware for the report "Boudt, K., Rousseeuw, P.J., Vanduffel, S., Verdonck, T. (2017). The Minimum Regularized Covariance Determinant Estimator" Link
Peter Rousseeuw, Software for the paper â€œHubert, M., Verdonck, T., Yorulmaz, O. (2017). Fast robust SUR with economical and actuarial applications. Statistical Analysis and Data Mining, 10, 77-88" Link
Niku, J., Brooks, W., Herliansyah, R., Hui, F.K.C., Taskinen, S. and Warton, D.I. (2017): R package gllvm: Generalized Linear Latent Variable Models. Link
R code for fast and robust bootstrap GLM inference in Peremans, K., Segaert, P., Van Aelst, S., Verdonck, T. (2017). Robust bootstrap procedures for the chain-ladder method. Scandinavian Actuarial Journal, 2017 (10), 870-897. Link

Reports (2017)

Eric Beutner; Alexander Heinemann, Stephan Smeekes (2017). A justification of conditional confidence intervals. GSBE Research Memoranda; no. 023 Link
P. J. Kremer, S. Lee, M. Bogdan, S. Paterlini, ''Sparse Portfolio Selection via the Sorted L1-Norm'', arXiv:1710.02435, 2017 - submitted for publication. STSM for M. Bogdan to visit S. Paterlinu Link
A. Virouleau, A. Guilloux, S. Gaiffas, M. Bogdan "High-dimensional robust regression and outliers detection with SLOPE", arXiv:1712.02640, 2017 -submitted for publication Link
van Delft, A.; Kehlet, U. N.; Ritz, C. Application of functional correlation in biology and econometrics. Report.
Boudt, K., Rousseeuw, P.J., Vanduffel, S., Verdonck, T. (2017). The Minimum Regularized Covariance Determinant Estimator. Link

Others (2017)

Enea Bongiorno, Lecturer. 8-10/04/2017, Lemesos, Cyprus. ``CRoNoS Spring Course on Multivariate methods with R''. Module III: Clustering functional data. Link
Enea Bongiorno, Discussant for ``GRASPA: Analysis of complex spatial data'' session. 28-30/06/2017, Florence, Italy. ``Statistics and data science: new challenges, new generations (SIS2017)''
Organized by I. C. Demetriou and P. M. Pardalos: Conference on Approximation and Optimization: Algorithms, Complexity and Applications, June 29{30, 2017, National and Kapodistrian University of Athens, Greece (http://caoaca.com/).
Maria Brigida Ferraro, Guest editor of the special issue "Soft Methods in Probability and Statistics" of the International Journal of Approximate Reasoning, Elsevier. Link
M. M. Fyrillas (2017). Optimum periodic geometries that maximize the heat transfer rate from a solid slab. In ERCIM 2017, London, UK. Link
Cristian Gatu, Local organization of the Management Committee and Working Groups meetings, Iasi, Romania, 28-29 January 2017. Link
Maria Dolores Jimenez-Gamero, Seminar: Testing goodness-of-fit for GARCH models. Organized by: Grupo SIDOR, Universidad de Vigo. Vigo (Spain) December 2017
Maria Dolores Jimenez-Gamero, Seminar: Testing goodness-of-fit for GARCH models. Organized by: Grupo SIDOR, Universidad de Vigo. Vigo (Spain) December 2017
Wolfgang Trutschnig, Co-Organizer of the sessions Dependence models and copulas I-IV at the CMStatistics 2016, December 09-11 2016, Seville, Spain (together with Fabrizio Durante)
Wolfgang Trutschnig, Chair of the Salzburg Workshop on Dependence Models and Copulas, September 19-22 2016, Salzburg, Austria
Wolfgang Trutschnig, Co-Organizer of the session Data Analysis with Dependence Models at the SMPS 2016, September 12-14 2016, Rome, Italy (together with Fabrizio Durante)

Journal paper (2016)

De la Cruz, R., Meza, C., Arribas-Gil, A. and Carroll, R.J. (2016). Bayesian regression analysis of data with random effects covariates from nonlinear longitudinal measurements. Journal of Multivariate Analysis, 143, 94-106. Link
Batagelj, V.; Praprontnik, S. (2016). An algebraic approach to temporal network analysis based on temporal quantities. Social Network Analysis and Mining, December 2016, 6:28. Link
Beutner, E. ZÃ¤hle, H. (2016). Functional delta-method for the bootstrap of quasi-Hadamard differentiable functionals, Electronic Journal of Statistics, 10, 1181-1222. Link
S. Lee, D. Brzyski, M. Bogdan -- Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l_1-Norm, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, JMLR:W and CP, vol.51, 780--789. Cooperation with S. Lee supported by COST (STSM for P. Sobczyk from Wroclaw) Link
Enea G. Bongiorno, Aldo Goia, Classification methods for Hilbert data based on surrogate density, Computational Statistics & Data Analysis, Volume 99, July 2016, Pages 204-222, ISSN 0167-9473, http://dx.doi.org/10.1016/j.csda.2016.01.019. Link Database Link
Carmen Cadarso Suarez, Laetitia Teixeira; Anabela Rodrigues; Denisa MendonÃ§a.(2016) Time-dependent ROC methodology to evaluate the predictive accuracy of semiparametric multi-state models in the presence of competing risks: An application to peritoneal dialysis programme. Statistical Modelling. Link
Carmen Cadarso Suarez, MÃ³nica LÃ³pez RatÃ³n; Elisa M Molanes LÃ³pez; Emilio LetÃ³n (2016) Confidence intervals for the symmetry point: an optimal cutpoint in continuous diagnostic tests. Pharmaceutical Statistics. 15(2): 178 - 270. Link
Barbaglia, L., Wilms, I. and Croux, C. (2016). Commodity Dynamics: A Sparse Multi-class Approach Energy Economics. Energy Economics, 60, 62-72.
Wilms, I. and Croux, C. (2016). Robust sparse canonical correlation analysis. BMC Systems Biology, 10(72): 1-13.
Croux, C. Garcia-Escudero, L.A., Gordaliza, A., Ruwet, C. and San MartÄ±n, R. (2016). â€Robust PCA based on Trimmingâ€, Statistica Sinica, accepted.
Alfons, A., Croux, C., Gelper, S. (2016). Robust groupwise least angle regression, Computational Statistics and Data Analysis 93, pp. 421-435. Link
Wilms, I. and Croux, C. (2016). Forecasting using sparse cointegration. International Journal of Forecasting, 32(4): 1256-1267.Â
Alfons A, Croux C, Filzmoser P. (2016). Robust Maximum Association Between Data Sets: The R Package ccaPP. Austrian Journal of Statistics, 45(1): 71-79.
Alfons A, Croux C, Filzmoser P. (2016). Robust maximum association estimators. Journal of the American Statistical Association, to appear.
Croux, C., Wilms, I. (2016). Discussion of â€™Asymptotic theory of outlier detection algorithms for linear time series regression modelsâ€™. Scandinavian Journal of Statistics, 43(2): 353-356.
Wilms, I., Gelper, S. and Croux, C. (2016). The predictive power of the business and bank sentiment of firms: A high-dimensional Granger Causality approachâ€. European Journal of Operational Research, 254(1): 138-147.Â
Oellerer V., Alfons A., and Croux C. (2016). The shooting S-estimator for robust regression. Computational Statistics, 31(3): 829-844.Â
Gelper, S. and Wilms, I. and Croux, C. (2016). Identifying Demand Effects in a Large Network of Product Categories. Journal of Retailing, 92 (1): 25-39.Â
Robust Ellipse Detection With Gaussian Mixture Models C. Arellano and R. Dahyot, Pattern Recognition, Volume 58, pages 12-26, October 2016 DOI:10.1016/j.patcog.2016.01.017 Link Database Link
F Marta L Di Lascio, and Simone Giannerini (2016) â€œClustering dependent observations with copula functionsâ€. Statistical Papers, p. 1-17. DOI 10.1007/s00362-016-0822-3. Link
F Marta L Di Lascio, Fabrizio Durante and Piotr Jaworski (2016) â€œTruncation invariant copulas and a testing procedureâ€. Journal of Statistical Computation and Simulation, 86(12), p. 2362-2378. DOI 10.1080/00949655.2015.1110820. Link
F. M. L. Di Lascio, F. Durante, and P. Jaworski (2016). Truncation invariant copulas and a testing procedure. J. Stat. Comput. Simul., 86(12):2362-2378.
Oliveira, MarÃa, Einbeck, Jochen, Higueras, Manuel, Ainsbury, Elizabeth, Puig, Pedro & Rothkamm, Kai (2016). Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study. Biometrical Journal 58(2), 259-279. Link
Nahid Emad, Serge Petiton, Unite and conquer approach for high scale numerical computing, Journal of Computational Science, Volume 14, 2016, Pages 5-14, ISSN 1877-7503, https://doi.org/10.1016/j.jocs.2016.01.007. (http://www.sciencedirect.com/science/article/pii/S1877750316300084) Keywords: Restarted hybrid methods; Krylov methods; Linear algebra; Parallel and distributed programming model; Extreme scale computing
Ferraty, A. Quintela-del-Rio (2016). Conditional VaR and expected shortfall: a new functional approach. Econometric Rev., 35, 263-292.
Liboschik, T., Kerschke, P., Fokianos, K., Fried, R. (2015), "Modelling Interventions in INGARCH Processes", International Journal of Computer Mathematics 93,no 4, special issue of the ERCIM Working Group on Computational Statistics, p. 640-657,2016 Preprint: http://dx.doi.org/10.17877/DE290R-4981 Link
Elsaied, H., Fried, R. (2016). "Tukeyâ€™s M-estimator of the Poisson parameter with a special focus on small means", S Statistical Methods and Applications, vol. 225 no. 2, pages 191-209, Link
Wornowizki, M., Fried, R. (2016), â€œTwo-sample Homogeneity Tests based on Divergence Measuresâ€, Computational Statistics 31, p. 291-313. Link
Kinsvater, P., Lilienthal, J., Fried, R. (2016), â€žRegional Extreme Value Index Estimation and a Test of Homogeneityâ€œ, Environmetrics, vol. 27 no. 2, pages 103-115, 2016. Preprint: http://dx.doi.org/10.17877/DE290R-7513. Link
S. Fischer, R. Fried, M. Wendler (2016), "Multivariate Generalized Linear-Statistics of Short Range Dependent Data", Electronic Journal of Statistics 10 (1), p. 646-682. Link
Anita M. Thieler, Roland Fried and Jonathan Rathjens. RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression. Journal of Statistical Software, vol. 69 no. 9, 2016 Link
Frommlet F, Nuel G (2016). An Adaptive Ridge Procedure for L0 Regularization. PLoS ONE 11(2): e0148620. doi:10.1371/journal.pone.0148620 Link
Florian Frommlet, Joint Genotype- and Ancestry-based Genome-wide Association Studies in Admixed Populations Joint manuscript with Malgorzata Bogdan Link
F. Frommlet, G.Nuel: An adaptive Ridge procedure for L0 regularization, 2016, PLoS ONE 11(2): e0148620. DOI: 10.1371/journal.pone.0148620 Link
L. Wu, A. Stathopoulos, J. Laeuchli, V. Kalantzis, E. Gallopoulos (2016) "Estimating the Trace of the Matrix Inverse by Interpolating from the Diagonal of an Approximate Inverse" J. Computational Physics, 326:828-844. http://dx.doi.org/10.1016/j.jcp.2016.09.001 Link
Gocic, M., Petkovic, D., Shamshirband, S., Kamsin, A., 2016. Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine. Computers and Electronics in Agriculture 127, 56-63. DOI: 10.1016/j.compag.2016.05.017 Link
Gocic, M., Shamshirband, S., Razak, Z., PetkoviÄ‡, D., Ch, S., Trajkovic, S., 2016. Long-term precipitation analysis and estimation of precipitation concentration index using three support vector machine methods. Advances in Meterology, Article ID 7912357, 11 pages. DOI: 10.1155/2016/7912357 Link
Beirlant, J., Fraga Alves, M.I. & Gomes, M.I. (2016). Tail fitting for truncated and non-truncated Pareto-type distributions. Extremes 19:3, 429-462. Link
Caeiro, F., Gomes, M.I., Beirlant, J. & de Wet, T. (2016). Mean-of-order-p reduced-bias extreme value index estimation under a third-order framework. Extremes 19:4, 561-589. Link
Caeiro, F., Gomes, M.I. & Henriques-Rodrigues, L. (2016). A location invariant probability weighted moment EVI estimator. International Journal of Computer Mathematics 93:4, 676â€“695. Link
Gomes, M.I. & Henriques-Rodrigues, L. (2016). Competitive estimation of the extreme value index. Statist. and Probab. Letters 117, 128-135. Link
Gomes, M.I., Henriques-Rodrigues, L. & Manjunath, B.L. (2016). Mean-of-order-p location-invariant extreme value index estimation. Revstat 14:3, 273-296. Link
Blanco-FernÃ¡ndez, A., Gonzalez-Rodriguez, G. (2016). Inferential studies for a flexible linear regression model for interval-valued variables. International Journal of Computer Mathematics, 93 (4), pp. 658-675. Link
FaÄevicovÃ¡, K., Hron, K., Todorov, V., Templ, M. Compositional tables analysis in coordinates. Scandinavian Journal of Statistics, 43 (2016), No. 4, 962-977. Link
HrÅ¯zovÃ¡, K., Todorov, V., Hron, K., Filzmoser, P. Classical and robust orthogonal regression between parts of compositional data. Statistics, 50 (2016), No. 6, 1261-1275. Link
Templ, M., Hron, K., Filzmoser, P., Gardlo, A. Imputation of rounded zeros for high-dimensional compositional data. Chemometrics and Intelligent Laboratory Systems, 155 (2016), 183-190. Link
Mert, C., Filzmoser, P., Hron, K. Error propagation in isometric logratio coordinates for compositional data: Theoretical and practical considerations. Mathematical Geosciences, 48 (2016), No. 8, 941-961. Link Database Link
Gardlo, A., Smilde, A., Hron, K., HrdÃ¡, M., KarlÃkovÃ¡, R., FriedeckÃ½, D., Adam, T. Normalization techniques for PARAFAC modeling of urine metabolomics data. Metabolomics, 12 (2016), No. 7, 1-13. Link
FaÄevicovÃ¡, K., BÃ¡bek, O., Hron, K., Kumpan, T. Element chemostratigraphy of the Devonian/Carboniferous boundary â€“ a compositional approach. Applied Geochemistry, 75 (2016), 211-221. Link
FiÅ¡erovÃ¡, E., Donevska, S., Hron, K., BÃ¡bek, O., VaÅˆkÃ¡tovÃ¡, K. Practical Aspects of Log-ratio Coordinate Representations in Regression with Compositional Response. Measurement Science Review, 16 (2016), No. 5, 235-243. Link
Plevka, V., Segaert, P., TampÃ¨re, C., Hubert, M. (2016). Analysis of travel activity determinants using robust statistics. Transportation, 43, 979-996. Link
Hubert, M., Reynkens, T., Schmitt, E., Verdonck, T. (2016). Sparse PCA for high-dimensional data with outliers. Technometrics, 58, 424-434. Link
Rato, T., Schmitt, E., De Ketelaere, B., Hubert, M., Reis, M. (2016). A systematic comparison of PCA-based statistical process monitoring methods for high-dimensional, time-dependent processes. AIChE Journal, 62, 1478-1493. Link
Schmitt, E., Rato, T., Reis, M., De Ketelaere, B., Hubert, M. (2016). Parameter selection guidelines for adaptive PCA-based control charts. Journal of Chemometrics, 30, 163-176 Link
De Ketelaere, B., Rato, T., Schmitt, E., Hubert, M. (2016). Statistical process monitoring of time-dependent data. Quality Engineering, 28, 127-142. Link
De Ketelaere, B., Rato, T., Schmitt, E., Hubert, M. (2016). Rejoinder. Quality Engineering, 28, 151-154. Link
Y. Chalco Cano, Rosana Rodriguez-Lopez, M. D. Jimenez-Gamero, Characterizations of generalized differentiable fuzzy functions. To appear in Fuzzy Sets and Systems, 295, 37-56
M.D. Jimenez-Gamero, A. Batsidis, M.V. Alba-FernÃ¡ndez, Fourier methods for model selection. Annals of the Institute of Mathematical Statistics 68, 105--133.
F. Novoa-MuÃ±oz, M.D. Jimenez-Gamero, A goodness-of-fit test for the multivariate Poisson distribution. SORT 40 (1), 113--138
P. JodrÃ¡, M.D. Jimenez-Gamero Some inferential issues on the Log--Lindley distribution. Insurance: Mathematics and Economics, 71, 189--194
M.D. Jimenez-Gamero, M.V. Alba-FernÃ¡ndez, P. JodrÃ¡, Y. Chalco-Cano, Testing for the symmetric component in skew distributions. Mathematical Methods in the Applied Sciences, 39, 4713--4722.
Alba-FernÃ¡ndez, M.V., Ariza-LÃ³pez, F.J., Jimenez-Gamero, M.D., RodrÃguez-Avi, J. On the similarity analysis of spatial patterns. Spatial Statistics, 18, 352--362
F. Novoa-MuÃ±oz, M.D. Jimenez-Gamero. A goodness-of-fit test for the multivariate Poisson distribution. SORT 40 (2016) 113--138.
P. Jodra, M.D. Jimenez-Gamero (2016). A note on the Log--Lindley distribution. Insurance: Mathematics and Economics 71, 189--194 Database Link
A. BÃ¼cher; I. Kojadinovic (2016). A dependent multiplier bootstrap for the sequential empirical copula process under strong mixing. Bernoulli 22:2, 927-968. Link
A. BÃ¼cher; I. Kojadinovic (2016). Dependent multiplier bootstraps for non-degenerate U-statistics under mixing conditions with applications. Journal of Statistical Planning and Inference 170, 83-105. Link
I. Kojadinovic, J-F. Quessy and T. Rohmer (2016). Testing the constancy of Spearman's rho in multivariate time series. Annals of the Institute of Statistical Mathematics 68:5, 929-954. Link
Marazzi A., TillÃ©, Y. (2016). Using past experience to optimize audit sampling design. Rev Quant Finan Acc, doi:10.1007/s11156-016-0596-7.
Agostinelli C., Marazzi A., Yohai V.J., Randriamiharisoa A. (2016). Robust Estimation of the Generalized Loggamma Model. The R Package robustloggamma. Journal of Statistical Software, 70(7), doi: 10.18637/jss.v070.i07
Alicia Nieto-Reyes and Heather Batey (2016). A Topologically Valid Definition of Depth for Functional Data. Statistical Science. Volume 31, Number 1, 61-79. Link
Rafael Duque, Alicia Nieto-Reyes, Carlos Martinez, Jose Luis MontaÃ±a (2016). Detecting Human Movement Patterns Through Data Provided by Accelerometers. A Case Study Regarding Alzheimerâ€™s Disease. In book: Ubiquitous Computing and Ambient Intelligence, pp.56-66. Link
Lietzen, N., Nordhausen, K. and Ilmonen, P. (2016): Minimum Distance Index for Complex Valued ICA. Statistics and Probability Letters, 118, 100-106.
Taskinen, S., Miettinen, J. and Nordhausen, K. (2016): A More Efficient Second Order Blind Identification Method for Separation of Uncorrelated Stationary Time Series. Statistics and Probability Letters, 116, 121-126.
Roberta Pappada, R. PappadÃ , E. Perrone, F. Durante, G. Salvadori (2016). Spin-off Extreme Value and Archimedean copulas for estimating the bivariate structural risk. Stoch. Environ. Res. Risk Assess., 30:327-342
Ana Belen Ramos-Guajardo, A.B. Ramos Guajardo, P. Grzegorzewski (2016) Distance-based linear discriminant analysis for interval-valued data. Information Sciences, 372, 591-607 Link
Ana Belen Ramos-Guajardo, Giordani, P.; Ramos Guajardo, A.B. (2016). A fuzzy clustering procedure for random fuzzy sets. Fuzzy Sets and Systems, 305, 54-69. Link
Marco Riani, ATKINSON A.C., CERIOLI A., RIANI M., (2016). Discussion to the paper by Johansen and Nielsen: Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models, Scandinavian Journal of Statistics, 43, p. 349-352 Link
Marco Riani, ATKINSON A.C., RIANI M., TORTI F., (2016). Robust methods for heteroskedastic regression, Computational Statistics and Data Analysis 104, p. 209â€“222 Link
Marco Riani, ATKINSON, A. C. CORBELLINI A., RIANI M. (2016), Introducing Prior Information into the Forward Search for Regression, in Topics on Methodological and Applied Statistical Inference Di Battista, T., Moreno, E., Racugno, W. (Eds.), Springer Verlag, Berlin, pp. 1-8
Baty, F.; Ritz, C.; van Gestel, A.; Brutsche, M.; Gerhard, D. (2016). Modeling the oxygen uptake kinetics during exercise testing of patients with chronic obstructive pulmonary diseases using nonlinear mixed models. BMC Medical Research Methodology, 16, 66. Link
Dalskov, S.-M.; Ritz, C.; LarnkjÃ¦r, A.; Damsgaard, C. T.; Petersen, R. A.; SÃ¸rensen, L. B.; Hjorth, M. F.; Ong, K.; Astrup, A.; MÃ¸lgaard, C.; Michaelsen, K. F. (2016). Seasonal variations in growth and body composition of 8-11-year-old Danish children. Pediatric Research, 79, 358-363.
Kitsche, A.; Ritz, C.; Hothorn, L. A. (2016). A general framework for the evaluation of genetic association studies using multiple marginal models. Human Heredity, 81, 150-172.
Romo, J., BelÃ©n MartÃn BarragÃ¡n and Rosa Lillo (2016). Functional boxplots based on epigraphs and hypographs (2016). Journal of Applied Statistics 43(6), 1088-1103. Link
Romo, J. and Marta Moreno (2016). Robust unit roots tests with autoregressive errors (2016). Communications in Statistics-Theory and Methods, 45(20), 5997-6021. Link
Zhelonkin, M., Genton, M.G., Ronchetti, E. (2016), Robust Inference in Sample Selection Models, Journal of the Royal Statistical Society, Series B, 78, pp. 805-827
Ronchetti, E. (2016).Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models, Discussion of the paper by S. Johansen & B. Nielsen, Scandinavian Journal of Statistics, 43, pp. 368-370
Ronchetti, E., SabolovÃ¡, R. (2016). Saddlepoint tests for quantile regression. Canadian Journal of Statistics 44(3), pp. 271-299
Rudas T. (2015) Testing the fit of relational models Link
Eardi Lila, John A. D. Aston, and Laura M. Sangalli (2016). Smooth Principal Component Analysis over two-dimensional manifolds with an application to neuroimaging. Ann. Appl. Stat. Volume 10, Number 4 (2016), 1854-1879. Link Database Link
Mara S. Bernardi, Laura M. Sangalli, Gabriele Mazza, James O. Ramsay (2016). A penalized regression model for spatial functional data with application to the analysis of the production of waste in Venice province. Stochastic Environmental Research and Risk Assessment, January 2017, Volume 31, Issue 1, pp 23â€“38 Link Database Link
Oja, H., Paindaveine, D. and Taskinen, S. (2016). Affine-invariant rank tests for multivariate independence in independent component models, Electronic Journal of Statistics, 10, 2372-2419 Link
Oja, H., Paindaveine, D. and Taskinen, S. (2016). Affine-invariant rank tests for multivariate independence in independent component models, Electronic Journal of Statistics, 10, 2372-2419 Link
Warton, D.I., Blanchet, F.G., O'Hara, R.B., Ovaskainen, O., Taskinen, S., Walker, S.C., and Hui, F.K.C. (2015). So many variables: Joint modeling in community ecology, Trends in Ecology and Evolution, 30, 766 - 779
W. Trutschnig, M. Schreyer, J. FernÃ¡ndez SÃ¡anchez (2016). Mass distributions of two-dimensional extreme-value copulas and related results. Extremes 19, 405{427 (2016) doi:10.1007/s10687-016-0249-1
F. Durante, J. FernÃ¡ndez SÃ¡nchez, W. Trutschnig (2016). Baire category results for quasi-copulas. Dependence Modeling 4, 215{223 (2016) doi:10.1515/demo-2016-0012
P. Ranacher, R. Brunauer, W. Trutschnig, S. Van der Spek, S. Reich (2016). Why GPS makes distances bigger than they are, International Journal of Geographical Information Science 30, 316-333 (2016) doi:10.1080/13658816.2015.1086924
R.R. Junker, J. Kuppler, A.C. Bathke, M.L. Schreyer, W. Trutschnig (2016). Dynamic range boxes - A robust non-parametric approach to quantify size and overlap of n-dimensional hypervolumes, to appear in Methods in Ecology and Evolution, doi:10.1111/2041-210X.12611
Benoit, D.F., Van Aelst, S. and Van den Poel, D. (2015), â€œOutlier Robust Bayesian Multinomial Choice Modeling," Journal of Applied Econometrics, to appear. http://dx.doi.org/10.1002/jae.2482 Link
Salibian-Barrera, M., Van Aelst, S., and Yohai, V. (2016). Robust tests for linear regression models based on tau-estimates. Computational Statistics & Data Analysis, 93, 436-455. Link
Van Aelst, S. (2016). Stahel-Donoho Estimation for High-Dimensional Data. International Journal of Computer Mathematics, 93 (4), 628-639. Link
Sinova, B. ; Gil, M.A. ; Van Aelst, S. (2016). M-estimates of location for the robust central tendency of fuzzy data. IEEE Transactions on Fuzzy Systems, 24 (4), 945 - 956. Link
Lukasz Gatarek; Lennart Hoogerheide; Herman K. van Dijk (2016). Return and Risk of Pairs Trading using a Simulation-based Bayesian Procedure for Predicting Stable Ratios of Stock Prices. Econometrics 2016, 4(1), 14. Link
Nalan Basturk; Stefano Grassi; Lennart Hoogerheide; Herman K. van Dijk (2016). Parallelization Experience with Four Canonical Econometric Models using ParMitISEM. Econometrics 2016, 4(1), 11, doi:10.3390/econometrics4010011. Link
Monica Billio; Roberto Casarin; Francesco Ravazzolo; Herman K. van Dijk (2016). Interactions between Eurozone and US Booms and Busts, A Bayesian Panel Markov-Switching VAR model, Journal of Applied Econometrics. Link
Lukasz Gatarek; Lennart Hoogerheide; Herman K. van Dijk (2016). Return and Risk of Pairs Trading using a Simulation-based Bayesian Procedure for Predicting Stable Ratios of Stock Prices. Econometrics 2016, 4(1), 14; doi:10.3390/econometrics4010014. Link
Nalan Basturk; Roberto Casarin; Francesco Ravazzolo; Herman K. van Dijk (2016). Ã‚ Computational Complexity and Parallelization in Bayesian Econometric Analysis, Ã‚ EconometricsÃ‚ 4(1), 9; doi:10.3390/econometrics4010009. Link
M. P. GÃ¼nther, P. Winker, Stefan A. Wudy and B. Brosig (2016): â€œNew Methods in Exploring Old Topics: Case Studying Brittle Diabetes in the Family Contextâ€, Journal of Diabetes Research, Vol. 2016, Article ID 6437452. doi: 10.1155/2016/6437452.
A. Mandes and P. Winker (2016): â€œComplexity and Model Selection in Agent Based Modeling of Financial Marketsâ€œ, Journal of Economic Interaction and Coordination, forthcoming. doi: 10.1007/s11403-016-0173-0. Link
A. Blanco-FernÃ¡ndez und P. Winker (2016): â€œData Generation Processes and Statistical Management of Interval Dataâ€, AStA Advances in Statistical Analysis, forthcoming. doi: 10.1007/s10182-016-0274-z. Link
S. De Haas und P. Winker (2016): â€œDetecting Fraudulent Interviewers by Improved Clustering Methods - The Case of Falsifications of Answers to Parts of a Questionnaireâ€œ, Journal of Official Statistics, 32/3, 643-660. Link
J. LÃ¼dering und P. Winker (2016): â€œForward or Backward Looking? The Economic Discourse and the Observed Realityâ€, JahrbÃ¼cher fÃ¼r NationalÃ¶konomie und Statistik (Journal of Economics and Statistics), 236 (4), 483-515. Link Database Link
S. Lee and G.A. Young (2016). Distribution of likelihood-based p-values under a local alternative hypothesis. Biometrika, 103, 641-652. Link
T.J. DiCiccio, T. Kuffner and G.A. Young `A simple analysis of the exact probability matching prior in the location-scale model'. To appear, American Statistician. Link

Contribution in book (2016)

F.Frommlet, M.Bogdan, D. Ramsey, "Phenotypes and Genotypes. The search for influential genes". Monography in Springer's Series on Computational Biology, 2016. Link
Colubi, A., Gonzalez-Rodriguez, G. (2016). On some functional characterizations of (Fuzzy) set-valued random elements. Advances in Intelligent Systems and Computing 456, pp. 135-140. Link
Ioannis Demetriou, A Characterization Theorem for the Best L1 Piecewise Monotonic Data Approximation Problem. In: Contributions in Mathematics and Engineering. In Honor of Constantin Carath\'{e}odory (editors: Panos M. Pardalos, Themistocles M. Rassias. Forward by R. Tyrrell Rockafellar), Springer International Publishing, Switzerland, 2016, pp. 117--126.
Ferraro Maria Brigida, Giordani Paolo (2016). Fuzzy and possibilistic approach to clustering of imprecise data. In: PROCEEDINGS of the 48th scientific meeting of the Italian Statistical Society. ISBN: 9788861970618
S. Abbas, R. Fried, U. Gather (2016), "Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis", in S. Michaelis, N. Piatkowski, M. Stolpe (editors), Solving Large Scale Learning Tasks. Challenges and Algorithms, volume 9580, p. 251-271. Springer International Publishing, Cham, 2016. Link
E. Gallopoulos, P. Bernard, A. Sameh (2016) "Parallelism in Matrix Computations". Springer. Scientific Computation series (http://www.springer.com/gp/book/9789401771870) Link
IE Venetis, A Sobczyk, A Kouris, A Nakos, N Nikoloutsakos, E Gallopoulos (2016) A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi. Parallel Computing: On the Road to Exascale 27, 371
Gomes, M.I., Caeiro, F., Henriques-Rodrigues, L. & Manjunath, B.G. (2016). Bootstrap methods in statistics of extremes. In F. Longin (ed.), Extreme Events in Finance: A Handbook of Extreme Value Theory and its Applications. Handbook Series in Financial Engineering and Econometrics (Ruey Tsay Adv.Ed.). John Wiley & Sons, Chapter 6, pp. 117-138.
Liski, E., Nordhausen, K., Oja, H. and Ruiz-Gazen, A. (2016): Combining Linear Dimension Reduction Estimates. In Agostinelli, C., Basu, A., Filzmoser, P. and Mukherje, D. (editors) "Recent Advances in Robust Statistics: Theory and Applications", Springer India, 131-149.
Miettinen, J., Nordhausen, K., Taskinen, S. and Tyler, D.E. (2016): On the Computation of Symmetrized M-Estimators of Scatter. In Agostinelli, C., Basu, A., Filzmoser, P. and Mukherje, D. (editors) "Recent Advances in Robust Statistics: Theory and Applications", Springer India, 151-167.
Matilainen, M., Miettinen, J., Nordhausen, K., Oja, H. and Taskinen, S. (2016): ICA ans Stochastic Volatility Models. In Aivazian, S., Filzmoser, P. and Kharin, Y. (editors) "Proceedings of the XI International Conference on Computer Data Analysis and Modeling", Publishing Center of BSU, Minsk, 30-37.
Virta, J., Taskinen, S. and Nordhausen, K.(2016). Applying Fully Tensorial ICA to fMRI Data. In the Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6.
Roberta Pappada, L. Egidi, R. PappadÃ , F. Pauli, N. Torelli (2016). Relabelling in Bayesian mixture models by pivotal units. PROCEEDINGS of the 48th scientific meeting of the Italian Statistical Society. ISBN: 9788861970618.
Ana Belen Ramos-Guajardo, Ramos Guajardo, A.B.; Blanco FernÃ¡ndez, A.(2016). Two-Sample Similarity Test for the Expected Value of Random Intervals. Soft Methods for Data Science, 423-430. Link
Ana Belen Ramos-Guajardo, Blanco FernÃ¡ndez, A.; Ramos Guajardo, A.B.(2016). Independent k-Sample Equality Distribution Test Based on the Fuzzy Representation. Soft Methods for Data Science, 61-68. Link
Marco Riani, CERIOLI A., ATKINSON, A. C., RIANI M. (2016), How to Marry Robustness and Applied Statistics, in Topics on Methodological and Applied Statistical Inference Di Battista, T., Moreno, E., Racugno, W. (Eds.)- Springer Verlag, Berlin, pp. 51-64
Marco Riani, CERIOLI A., ATKINSON, A. C., RIANI M. (2016), How to Marry Robustness and Applied Statistics, in Topics on Methodological and Applied Statistical Inference Di Battista, T., Moreno, E., Racugno, W. (Eds.)- Springer Verlag, Berlin, pp. 51-64
Taskinen, S. and Oja, H. (2016). Influence functions and efficiencies of k-step Hettmansperger-Randles estimators, in: R. Liu and J.W. McKean, eds. Robust Rank-Based and Nonparametric Methods, Springer, Heidelberg, pp. 189-207

Conference presentation (2016)

Batagelj, V. (2016). Symbolic data analysis - Clustering of large data sets of mixed units. CRoNoS meeting, 16 - 17 April 2016, Colegio de Espana, Paris. Link
Batagelj, V.; Ferligoj, A. (2016). Symbolic network analysis of bike sharing data - Citi Bike. CMStatistics 2016, 9-11 December 2016, Sevilla, Spain. Link
Eric Beutner; Laurent Bordes; Laurent Doyen (2016). Which semi-parametric models can be estimated using profile maximum likelihood techniques? International. Statistics Festival, Salzburg, July 13-15, 2016.
Enea Bongiorno, 16/04/2016, Paris, France. "4th Working groups meetings CRONOS - COST Action IC1408" Link
Bongiorno, E.; Goia, A. (2016). Functional principal component for concentration curves. CMStatistics2016, 9-11. December 2016, Sevilla, Spain.
Eva Cantoni, Robust semi-parametric estimators: Missing data and causal inference (Organized invited session "Robust statistical modelling", Chair: Alfio Marazzi ) 9th International Conference of the ERCIM WG onCMStatistics 2016, 9-11 December, Sevilla. Link
M Hall, S Caton; Online engagement and well-being at higher education institutes: A German case study; In IFIP Networking Conference (IFIP Networking) and Workshops, 2016, 542-547 Link
M Krause, M Hall, S Caton; Is Quality Control Pointless?; The Internet, Policy & Politics Conference (IPP), 2016 Link
Ana Colubi, Keynote talk: On some functional characterizations of (Fuzzy) set-valued random elements. SMPS 2016, Rome, Italy. Link
Paoullis, P., Colubi, A., Kontoghiorghes E.J. (2016). On the estimation of the vector generalized linear model. CMStatistics 2016. Link
Garcia Barzana, M., Colubi, A., Gonzalez-Rodriguez, G. (2016). OOn a regression model with constraints in Hilbert spaces. CMStatistics 2016. Link
Hofmann, M. Colubi, A. Kontoghiorghes, E.J. (2016). Detection and recovery from inconsistencies in the general linear model with singular dispersion matrix. CFE 2016. Link
I. C. Demetriou, 'The performance of two Fortran packages for piecewise monotonic approximation on large sequences of highly irregular data', Presented at CRoNoS COST meeting in Limassol 20-21 March 2016, Minisymposium in software and algorithms in statistics Link
I. C. Demetriou, 'Peak finding by piecewise monotonicity constraint', Presented at CRoNoS COST meeting in Paris 16-17 April 2016 Link
I. C. Demetriou (2016). "A characterization theorem for the least squares piecewise monotonic data fitting". COMPSTAT 2016, The 22nd International Conference on Computational Statistics, 23-26 August 2016, Oviedo, Spain. Link
I. C. Demetriou, invited speaker (2016). 'A Binary Tree Algorithm for Least Squares Piecewise Monotonic Data Approximation', presented at International Conference on Numerical Analysis, Approximation and Optimization, Dedicated to late Professor M.J.D. Powell, August 5-7, 2016, Chinese Academy of Science, Beijing, China. Link
F Marta L Di Lascio, and Simone Giannerini, â€œA conditional copula-based imputation techniqueâ€, Workshop on Dependence Models & Copulas, Salzburg, Austria), September 19th-22nd, 2016. Link
F Marta L Di Lascio (2016). A conditional copula-based technique to impute complex dependent data. Invited session. Workshop on Applied Statistics, Technische UniversitÃ¤t Dresden, Dresden, Germany, March 10th-11th.
Fabrizio Durante, Invited plenary talk titled "From subcopulas to copulas", during Conference -Dependence Modeling in Finance, Insurance and Environmental Science-, Munich (Germany), 17-19 May 2016. Link
Alexandre Fender, Nahid Emad, Joe Eaton, Serge Petiton, Accelerated Hybrid Approach for Spectral Problems Arising in Graph Analytics, Procedia Computer Science, Volume 80, 2016, Pages 2338-2347, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2016.05.435. Link
I. Mehrez, O. Hamdi-Larbi, T. Dufaud and N. Emad, "Towards an auto-tuning system design for optimal sparse compression format selection with user expertise," 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), Agadir, 2016, pp. 1-6. doi: 10.1109/AICCSA.2016.7945829 Link
Alexandre Fender, Nahid Emad, Joe Eaton, Serge Petiton, Accelerated Hybrid Approach for Spectral Problems Arising in Graph Analytics, Procedia Computer Science, Volume 80, 2016, Pages 2338-2347, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2016.05.435. Link
Elena Fernandez Iglesias, Elena Fernandez-Iglesias (2016). Environmental Databases from INDUROT (Univ. Oviedo), 3rd WGs meeting: Limassol, Cyprus, 20-21 March 2016. Link
Maria Brigida Ferraro, "The 48th Scientific Meeting of the Italian Statistical Society (SIS2016)", Salerno, Italy, June 12-14, 2016. Solicited talk: "Fuzzy and possibilistic approach to clustering of imprecise data"
Ferraro, M.B., Fuzzy two-mode clustering with polynomial fuzzifiers. The 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics2016), December 9-11, 2016, University of Seville, Spain. Link
Paolo Foschi (2016) "Conjugate Gradient methods for Estimating Linear Regression models", 3rd WGs meeting: Limassol, Cyprus, 20-21 March 2016 Link
Robust and nonparametric detection of shifts using two-sample U-statistics and U-quantiles. Roland Fried, Herold Dehling and Martin Wendler
R. Fried, H. Dehling, A. DÃ¼rre, M. Wendler (2016), â€œOn Robust and Nonparametric Change-Point Detection in Multiple Time Seriesâ€œ, invited talk at the 22nd International Conference on Computational Statistics 2016, Oviedo, Spain, 23.-26.08.2016. Link
R. Fried, A. DÃ¼rre, T. Liboschik (2016), "robts - An R-package for Robust Time Series Analysis and Change-Point Detection", talk at CMStatistics 2016, Seville, Spain, 09.-11.12.2016. Link
Florian Frommlet, High dimensional model selection with an adaptive ridge procedure for L0 regularization, ISNPS, Avignon, June 11
Cristian Gatu, Computational strategies for regression model selection, 3rd WGs meeting: Limassol, Cyprus, 20-21 March 2016 Link
Cristian Gatu, Genetic versus controlled approximate algorithms for regression model selection, 22nd International Conference on Computational Statistics (COMPSTAT 2016), Oviedo, Spain, 23-26 August 2016 Link
Gatu, C. (2016). A controlled error approximate algorithm for regression model selection. A comparison with related packages in R. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), University of Seville, Spain, 9-11 December 2016. Link
Cabral. I., Caeiro, F. & Gomes, M.I. (2016). Reduced-bias Hill estimators. International Conference of Computational Methods in Sciences and Engineering 2016 (ICCMSE 2016). AIP Conference Proceedings 1790, 080006-1â€“080006-4; doi: 10.1063/1.4968687 Link
Gomes, M.I., Penalva, H., Caeiro, F. & Neves, M.M. (2016). Non-reduced versus reduced-bias estimators of the extreme value indexâ€”efficiency and robustness. In A. Colubi, A. Blanco & C. Gatu (eds.) COMPSTAT 2016â€”22nd International Conference on Computational Statistics, The International Statistical Institute/International Association for Statistical Computing, 279-290. Link
Pestana, D., M.I. Gomes, F. Caeiro, F. Figueiredo and L. Henriques-Rodrigues (2016). Partially Reduced-Bias Value-at-risk Estimators. Presented at CFE-CMSTATISTICS 2016, Sevilla, December 9-11, 2016. Link
Stella Hadjiantoni, Recursive strategies in functional data analysis. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), University of Seville, Spain, 9-11 December 2016
Hron, K., Filzmoser, P., Gardlo, A. Univariate analysis of compositional data using weighted balances. In COMPSTAT 2016, Oviedo, Spain Link
Hron, K., Filzmoser, P., KynÄlovÃ¡, P. Correlation analysis for compositional data using logratio coordinates. In IGC 2016, Cape Town, South Africa Link
K. Hron, M. Templ, P. Filzmoser (2016). Exploring outliers in compositional data with structural zeros. In ERCIM 2016, Sevilla, Spain. Link
M.V. Alba-FernÃ¡ndez, A. Batsidis, M.D. Jimenez-Gamero, P. JodrÃ¡ (2016). A class of tests for the two-sample problem for count data based on the empirical probability generating function, 16th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2016, Rota.
M.D. Jimenez-Gamero (2016). Tests basados en la funciÃ³n caracterÃstica empÃrica, Plenary talk, COMCA 2016, Antofagasta (Chile), 2-5 August, 2016.
M.D. Jimenez-Gamero (2016). The two-sample problem and goodness-of-fit tests based on the empirucal characteristic function, Plenary talk, 31 Foro Internscional de EstadÃstica, Texcoco (Mexico), 28-30 September, 2016.
M.D. Jimenez-Gamero, J.A. Mayor-Gallego, J.L. Moreno-Rebollo (2016). Estimation of the finite population distribution function using a global penalized calibration method. COMPSTAT 2016, Oviedo, 23-26 August, 2016
M.D. Jimenez-Gamero, J.C Pardo-FernÃ¡ndez (2016). Testing for the conditional variance in nonparametric regression models, ERCIM 2016, Sevilla, 9-11 December, 2016.
M.D. Jimenez-Gamero (2016). The two-sample problem and goodness-of-fit tests based on the empirical characteristic function, Plenary talk, 31 Foro Internacional de EstadÃstica, Texcoco (Mexico), 28-30 September, 2016. Link
CRONOS WG meeting March 2016, Limassol: presentation of Aneta Karaivanova
CRONOS Paris meeting, 2016, presentation A. Karaivanova
Klaus Nordhausen (2016). Blind source separation based on joint diagonalization in R: The packages JADE and BSSasymp". CMStatistics 2016, 9-11 December 2016, Sevilla, Spain.
Roberta Pappada, L. Egidi, R. PappadÃ , F. Pauli, N. Torelli (2016). Relabelling in Bayesian mixture models by pivotal units. SIS 2016: 48th scientific meeting of the Italian Statistical Society, University of Salerno, June 8-10.
Roberta Pappada, Roberta PappadÃ (2016). Graphical Copula tools for detecting tail dependence. Salzburg Workshop on Dependence Models & Copulas. Faculty of Natural Sciences, University of Salzburg, September 19-22.
Bonaccolto, G.; Caporin, M.; Paterlini, S. (2016). Conditional quantile-dependent autoregressive value-at-risk. CFE 2016, December 9-11, Sevilla, Spain. Link
Torri, G.; Giacometti, R.; Paterlini, S. (2016). Capturing systemic risk by robust and sparse network estimation. CFE 2016, December, Sevilla, Spain. Link
Li, W.; Ben, S.; Hommel, U.; Paterlini, S.; Yu, J. (2016). Default contagion & systemic risk in the intercorporate loan guarantee network. CFE 2016, December, Sevilla, Spain
Kremer, P.J.; Paterlini, S.; Bogdan, M. (2016). Sorting out your investments: Sparse portfolio vonstruction via the ordered. CFE 2016, December 9-11, Sevilla, Spain. Link
Giuzio, M.; Paterlini, S. (2016). Effects of diversification and capital buffers on the EU sovereign network. CFE 2016, December 9-11, Sevilla, Spain. Link
Paterlini, S.; Smith, C.; Wuttke, D. (2016). Brexit and Twitter Data. Deutsch Bundesbank Workgroup on Big Data. Coordinator: Prof. Falko Fecht, Frankfurt School of Finance, Frankfurt, Germany.
Sandra Paterlini, Ebs Mini-Conference Day: â€œThe Music has changed; do you know how to dance? Challanges and Opportunities after the Financial Crisesâ€ at EBS University, 24/06/2016.
Giuzio, M.; Craig, B.; Paterlini, S. (2016). EU Sovereign-Bank Network: Effects of Diversification and Capital Buffers on Sovereign Debt AMASES XL. September 15-17, Catania, Italy. Link
Giuzio, M.; Paterlini, S. (2016). Undiversifying during crisis. Poster presentation, XVIII Workshop on Quantitative Finance. Milan, Italy. Link
Bonaccolto, G.; Caporin, M.; Paterlini, S. (2016). Asset Allocation Strategies Based on Penalized Quantile Regression.9t Financial Risks International Forum on "New Challenges Facing the Investment Management Industry". 22 Febrero. Paris, France. Link
G. Bonaccolto; M. Caporin; S. Paterlini (2016). Asset Allocation Strategies Based on Penalized Quantile Regression. Conference on Financial Econometrics & Empirical Asset Pricing, Lancaster University , 30th June - 1st July 2016. Link
Ramos-Guajardo,A. B.; A. Blanco-FernÃ¡ndez (2016). Two-sample similarity test for the expected value of random intervals. The 8th International Conference on Soft Methods in Probability and Statistics (SMPS, 2016). September 12-14, 2016, Roma, Italy.
Ramos-Guajardo,A. B.; A. Blanco-FernÃ¡ndez (2016). Independent k-sample equality distribution test based on the fuzzy representation. The 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016). September 12-14, Roma, Italy.
Ramos-Guajardo, A.B. ; Giordani, P. (2016). Comparing robust fuzzy methods for clustering non-precise data. The 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), December 9-11, Seville, Spain. Link
Romo, J.Analyzing dependence for multivariate functional data. 9th International Conference on Computational and Methodological Statistics. Invited special session. Sevilla, Spain. December, 2016.
Romo, J. Recent advances in robust statistics. 9th International Conference on Computational and Methodological Statistics. Organizador de sesiÃ³n especial invitada. Sevilla, Spain. Diciembre, 2016.
Romo, J. Statistical techniques for the analysis of complex biomedical signals. XIII Biannual Congress of the Italian Society of Industrial and Applied Mathematics (SIMAI). Invited session. MilÃ¡n, Italy. November, 2016.
Romo, J. Analyzing high-dimensional functional data (with Ana Arribas-Gil). COMPSTAT 2016. Invited session organizer. Oviedo, Spain. August, 2016.
Romo, J. Robust functional data analysis. III International Society for Nonparametric Statistics Conference. Invited session organizer. Avignon, France. June, 2016.
Ronchetti, E., Higher-Order Asymptotic Methods in Statistics and Econometrics, Tutorial, Seville, December 2016 Link
Elvezio Ronchetti, Tutorial Short course Seville, December 2016
Ronchetti, E., Higher-Order Robust Inference, Keynote talk, Seville, December 2016 Link
Rousseeuw, P., Hubert, M., and Raymaekers, J., (2016), "Finding outliers in surface data and video," CRoNoS Workshop on Functional Data Analysis, Oviedo, Spain, August 26-28.
Hubert, M., Rousseeuw, P., and Van den Bossche, W. (2016), "Robust PCA in the presence of outlying cells," Workshop of the ERCIMWorking Group on Computational and Methodological Statistics (CMStatistics 2016), Seville, Spain, December 9-11.
Hubert, M., Rousseeuw, P., and Van Aelst, S. (2016), "Robust Statistics: Foundations and Recent Developments," CRoNos Winter Course (12 hours), Seville, Spain, December 6-7.
Rudas T.(2016) Estimation and testing in relational models. CMStatistics, Sevilla
Rudas T.(2016) On generalizations of the log-linear model.University of Washington, United States of America
Rudas T.(2016) Model based analysis of incomplete data with non-ignorable missing data mechanism. Columbia University, United States of America
Rudas T.(2016) Model based analysis of incomplete data with non-ignorable missing data mechanism. New York University, United States of America
Rudas T.(2016) On variants of the iterative scalling algorithm. COMPSTAT 2016, Oviedo, Spain
Rudas T.(2016) Idependence models for non rectangular data. Cost Action Workshop, Paris
Rudas T.(2016) Model based analysis of incomplete data with non-ignorable missing data mechanism. 7th Conference of the European Association of Methodology, Palma de Mallorca, Spain
Taskinen, S. (2016): Generalized linear latent variable models for the analysis of multivariate abundance data, COMPSTAT2016, Oviedo, Spain, 25.8.2016.
Van Aelst S., Cevallos-Valdiviedo H., Salibian-Barrera, M. (2016). Robust Principal Components by Least Trimmed Squares for High-Dimensional and Functional Data. International Conference on Robust Statistics 2016, Geneva, Switzerland, July 4-8, 2016. Link
Van Aelst S., Cevallos-Valdiviedo H., Salibian-Barrera, M. (2016). Robust Principal Components for High-Dimensional Data. 22nd International Conference on Computational Statistics (COMPSTAT 2016), Oviedo, Spain, 23-28 August 2016. Link
Van Aelst S., Cevallos-Valdiviedo H., Salibian-Barrera, M. (2016). Least trimmed squares for functional principal component analysis. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), Seville, Spain, December 9-11. Link
Peter Winker (2016). Calculating Joint Bands for Impulse Response Functions using Highest Density Regions. CompStat 2016, Oviedo, Spain, 26th August.
Peter Winker (2016). Calculating Joint Bands for Impulse Response Functions using Highest Density Regions. Verein fÃ¼r Socialpolitik, Augsburg, September 2016.
Alastair Young, Keynote Speaker at COMPSTAT 2016, Oviedo, August 2016.
G.A. Young. Invited Lecture, Elvezio Ronchetti 60th Birthday Workshop, Geneva. `Sampling distributions of likelihood-based p-values'. Link

Projects (2016)

Enea Bongiorno, Submission Project. Italian PRIN funding programme.
Enea Bongiorno, Submission Project. European MSCA funding programme.
Rozenn Dahyot, H2020 grant agreement No 732204 (Bonseyes) - ARTIFICIAL INTELLIGENCE MARKETPLACE An open platform for the development of systems of artificial intelligence from cloud to edge devices. Link Database Link
F Marta L Di Lascio, Co-Investigator of the research project "New Directions in Dependence Modeling (NEW-DEMO)", CRC call 2016, Free University of Bozen-Bolzano (Italy). PI: Prof. F. Durante (until 30/12/2016) and F. Ravazzolo (from 31/12/2016).
F Marta L Di Lascio, Principal Investigator of the research project "Aggregation functions for Innovation and Data Analysis (AIDA)", CRC call 2016, Free University of Bozen-Bolzano (Italy). PI: Prof. F. Durante until 30/12/2016, Prof. A. Weissensteiner from 31/12/2016 until 31/01/2018.
F Marta L Di Lascio, Partner n.1 of the project "R: Economics in ACTION (REACTION)" for the organization of a school at the University of Trento, Povo scientific campus, Trento, Italy, September 5th-8th, 2017. Coordinator: Claudio Agostinelli, University of Trento, Italy, Partner n.2: Achim Zeileis, University of Innsbruck, Austria.
Maria Brigida Ferraro, Ateneo 2016 project, Sapienza University of Rome. "Latent Variable Models for Complex Data Structures"(P.I.: Paolo Giordani, Sapienza University of Rome)
Cristian Gatu, Final Registration Code: PN-III-P4-ID-PCE-2016-0250. Project Title: "Computationally-intensive strategies for data robust analysis". Project Duration: 30 months. Total Funding Requested: 850.000 RON (~188.888 EUR). Application to the Romanian National Authority for Scientific Research, CNCS - UEFISCDI competition "Exploratory Research Projects - PCE-2016". Link
CEEPUS network "Applied Hydroinformatics", CIII-RS-1112-01-1617, University of Nis. Network Coordinator: Slavisa Trajkovic, Milan Gocic Link
Karel Hron, Functional data analysis and related topics. Czech Science Foundation GA15-06991S. PI Petr Lansky, Masaryk University, Brno
Karel Hron, Statistics in metabolomics for biomarker research in medicine. Czech Science Foundation 15-34613L. PI Tomas Adam, Palacky University, Olomouc. Link
Maria Dolores Jimenez-Gamero, Title: Grupo de Referencia Competitiva-IO1-Inferencia EstadÃstica, DecisiÃ³n e InvestigaciÃ³n Operativa. (2016-2019) Reference: ED431C2016-040(GRC) Granted by: Xunta de Galicia - ConsellerÃa de Cultura, EducaciÃ³n e OrdenaciÃ³n Universitaria. Chair: Jacobo de UÃ±a Ãlvarez.
Juan Romo, Big Data y datos complejos en Empresa y Finanzas. (Leading Researcher). Ministerio de EconomÃa y Competitividad (2016 - 2019)
Juan Romo, Desarrollo de un Biobanco de microbiota intestinal humana para programas de intervenciÃ³n precoz en el control de la infecciÃ³n por Clostridium difficile. Instituto de Salud Carlos III. (2016-2019)

Software (2016)

Vladimir Batagelj, clamix 1.02: Clustering modal multi valued symbolic data. R package. Co-author: NataÅ¡a KejÅ¾ar. October 2016. Link
Vladimir Batagelj, TQ - Python library for temporal network analysis based on temporal quantities. Co-author: Selena Praprotnik. Link
Malgorzata Bogdan - R package geneSLOPE on CRAN. Authors: Damian Brzyski, Christine Peterson, Piotr Sobczyk, Emmanuel J. Candes, Malgorzata Bogdan, Chiara Sabatti. Maintainer: Piotr Sobczyk. Link
R package grpSLOPE on CRAN. Authors: Alexej Gossmann, Damian Brzyski, Weijie Su, Malgorzata Bogdan Link
Malgorzata Bogdan, R package bigstep on CRAN. Author: Piotr Szulc Link
T. Liboschik, K. Fokianos, R. Fried, P. Probst, J. Rathjens (2016), "tscount - analysis of count time series", R-package. Link
Florian Frommlet, MOSGWA: Software to analyse GWAS data using model selection based on FDR controlling modifications of BIC Link
Software for the paper â€œHubert, M., Reynkens, T., Schmitt, E., Verdonck, T. (2016). Sparse PCA for high-dimensional data with outliers. Technometrics, 58, 424-434" Link
Virta, J., Li, B., Nordhausen, K. and Oja, H (2016). tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations. Link
Archimbaud, A., Nordhausen, K. and Ruiz-Gazen, A. (2016): ICSOutlier: Outlier Detection Using Invariant Coordinate Selection Link
Nordhausen, K., Oja, H., Tyler, D.E. and Virta, J. (2016): ICtest: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction Link
Raymaekers, J., Rousseeuw, P.J, Van den Bossche, W. (2016). cellWise: Analyzing Data with Cellwise Outliers. R package, CRAN. Link
Wolfgang Trutschnig, R package dynRB Link
Wolfgang Trutschnig, R package Chaos Game Link

Reports (2016)

E. Gallopoulos coauthored the report "RandNLA, Pythons, and the CUR for Your Data Problems: Reporting from G2S3 2015 in Delphi" that was published in SIAM News, Jan/Feb. 2016. Link
Rousseeuw, P.J., Raymaekers, J., Hubert, M. (2016). A measure of directional outlyingness with applications to image data and video. Link

Others (2016)

Enea Bongiorno, Invited Session: Non- and semi-parametric approaches in functional statistics. CRoNoS FDA 2016, Oviedo, Spain. Link
E. Bongiorno (2016). Organized Invited Session: Non- and semi-parametric approaches in functional statistics. CMStatistics2016, 9-11. December 2016, Sevilla, Spain.
Eva Cantoni, Grant proposal entitled "Making Bayesian methods robust to miss-specification" submitted to the Swiss National Science Foundation.
Eva Cantoni, Session entitled "Statistics in ecology" (speakers: W. Aeberhard, J. Mills-Flemming, R. King) at 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), 9-11 December, Sevilla. Link
M Hall, A Mazarakis, I Peters, M Chorley, S Caton, JE Mai, M Strohmaier; Following User Pathways: Cross Platform and Mixed Methods Analysis in Social Media Studies; Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems; 3400-3407 Link
Special issue on computational statistics. Guest Editors: Colubi, A., Gatu, C., John Kontoghiorghes, E. International Journal of Computer Mathematics. Link
F Marta L Di Lascio, and Fabrizio Durante: organizers of the special session on â€œDependence-based clustering methodsâ€ at the 9th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of Seville, Spain, December 9th-11th, 2016. Link
Elena Fernandez Iglesias, Fernandez E., Marquinez, J., Gonzalez-Rodriguez, G. (2016). Statistical analysis of the relationship between fluvial sediment and coastal dunes in the Cantabrian Coast (NW Spain). Poster presentation, CMStatistics 2016, Seville, Spain, December 9-11. Link Database Link
Maria Brigida Ferraro, Organization of the session "Advances in Fuzzy Clustering". The 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics2016), December 9-11, 2016, University of Seville, Spain. Link
Maria Brigida Ferraro, Organization of the session "Advances in Fuzzy Clustering". The 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics2016), December 9-11, 2016, University of Seville, Spain. Link
Maria Brigida Ferraro, General chair (with P. Giordani and B. Vantaggi) of the "8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016)" Rome, Italy, September 12-14, 2016. Link
Co-Editor of the book â€œSoft Methods for Data Scienceâ€ della serie Advances in Intelligent Systems and Computing (Eds.: Ferraro, M.B., Giordani, P., Vantaggi, B., Gagolewski, M., Ãngeles Gil, M., Grzegorzewski, P., Hryniewicz, O.), Springer, 2016 Link
Roland Fried, Organized session at the CMStatstistics 2016 - Seville
Efstratios Gallopoulos, Presentation at the CRONOS Meeting "Matrix Methods in Data Analysis" in Limassol, March 2016 Link
Cristian Gatu, Local organization of the Software Working Group and projects meetings, Iasi, Romania 10-11 April 2016. Link
Milan Gocic, Guest editor with Prof. Trajkovic for a Special Issue (Hydrological Hazards in a Changing Environment: Early Warning, Forecasting, and Impact Assessment, http://www.hindawi.com/journals/amete/si/434023/cfp/) in Advances in Meteorology. To be published in February 2016.
Gil Gonzalez-Rodriguez, Invited Session at CMStatistics 2016: Statistics for Hilbert spaces. Link
Gil Gonzalez-Rodriguez, Invited Session at CRoNoS 2016: Statistics for Hilbert spaces. Link
Gil Gonzalez-Rodriguez, Tutorial at CRoNoS 2016: Bootstrap in separable Hilbert spaces with applications to functional data analysis. Link
Research Stay 3-6/1/2016 TU Dortmund, Faculty of Statistics, Dortmund, Germany. Seminar talk â€“ Hron, K. Regression analysis for compositional data using the logratio approach. Link
Maria Dolores Jimenez-Gamero, Seminar: Tests for the equality of conditional variance functions in nonparametric regression. Organized by: Applied Economics & Econometrics Workshop, Universidad Carlos III. Madrid, July 2016
Maria Dolores Jimenez-Gamero, Seminar: Penalized estimation of the finite population distribution function using auxiliary information. Organized by: Seminario de EstadÃstica, Dpto. de EstadÃstica de la Pontifica Universidad CatÃ³lica de Chile. Santiago de Chile, July 2016.
Erricos Kontoghiorghes, CSDA Special Issues 2016: Editorial as coordinator. Link
Klaus Nordhausen, STSM "Using robust scatter matrices for outlier detection and spatial prediction" hosted at Toulouse School of Economics by Anne Ruiz-Gazen (07.04-13.04.2016).
Sandra Paterlini, Operational Risk Dependence Modelling, COST STSM at EBS University, Dr Roberta Pappada, University of Trieste, July 2016.
Igor Pruenster, Scientific Committee Member, 22nd International Conference on Computational Statistics (COMPSTAT 2016), Oviedo, Spain (August 2016)
Ramos-Guajardo, A. B. (2016). Organization of the session "Combining statistics and imprecision". The 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016). December 9-11, Seville, Spain. Link
Ramos-Guajardo, A.B. (2016). Organization of the sessions "Statistical Methods for non-precise data I and II". The 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016). September 12-14, Roma, Italy. Link
Berry, M.W., Lee, J.J., Montana, G., Van Aelst, S., Zamar, R.H. (2016). Editorial Special Issue on Advances in Data Mining and Robust Statistics. Computational Statistics & Data Analysis, 93, 388-389. Link
Stefan Van Aelst, 2016 CRoNoS Winter Course on Econometrics and Statistics, Sevilla, Spain, 6-7 December 2016. Leucturer for Module I: Robust Statistics: Foundations and Recent Developments together with Peter Rousseeuw and Mia Hubert. Link
Berry, M.W., Lee, J.J., Montana, G., Van Aelst, S., Zamar, R.H. (2016). Editorial Special Issue on Advances in Data Mining and Robust Statistics, Computational Statistics & Data Analysis, 93, 388-389. Link
G.A. Young. Co-organiser WHOA-PSI, Workshop on Higher-Order Asymptotics and Post-Selection Inference, St, Louis, USA, 30 September - 2 October 2016.

Journal paper (2015)

M. Bogdan, E. van den Berg, C. Sabatti, W. Su, E. J. Candes, "SLOPE -- Adaptive Variable Selection via Convex Optimization", Annals of Applied Statistics, 9 (3), 1103--1140, 2015. Link
S Caton, M Hall, C Weinhardt; How do politicians use Facebook? An applied Social Observatory; Big Data & Society 2 (2) Link
Colubi, A., Gonzalez-Rodriguez, G. (2015). Fuzziness in data analysis: Towards accuracy and robustness. Fuzy Sets and Systems 281, pp. 260-271. Link
Hoffmann, I., Serneels, S., Filzmoser, P. and Croux, C. (2015). Sparse partial robust M regressionâ€, Chemometrics and Intelligent Laboratory Systems, 149: 50-59.
Wilms, I., and Croux, C. (2015). Sparse canonical correlation analysis from a predictive point of view. Biometrical Journal, 57(5): 834-851.Â
Alfons, A., Croux, C., and Gelper, S. (2015). Robust groupwise least angle regression,â€ Computational Statistics and Data Analysis, 93: 421-435.Â
Oellerer V., Croux C. and Alfons A. (2015). The influence function of penalized regression estimatorsâ€, Statistics, 49(4): 741-765.
Oellerer V. and Croux C. (2015). Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination. Test, 24(3), 462-466.Â
Glady N., Lemmens A. and Croux C. (2015). Unveiling the relationship between the transaction timing, spending and dropout behavior of customers. International Journal of Research in Marketing, 32(1), 78-93.
F Marta L Di Lascio, Simone Giannerini and Alessandra Reale (2015) â€œExploring copulas for the imputation of complex dependent dataâ€. Statistical Methods & Applications, 24(1), p. 159-175, DOI 10.1007/s10260-014-0287-2. Link
F. Durante, J. FernÃ¡ndez-SÃ¡nchez, J.J. Quesada-Molina, M. Ãšbeda-Flores (2015). Convergence results for patchwork copulas. European J. Oper. Res., 247(2):525-531.
F. Durante, R. Pappada, N. Torelli (2015). Clustering of time series via non-parametric tail dependence estimation. Statist. Papers, 56(3):701-721.
Liu, Z., Emad, N., Amor, S.B. et al. Int J Parallel Prog (2015) 43: 1028. https://doi.org/10.1007/s10766-014-0344-3, DOI https://doi.org/10.1007/s10766-014-0344-3 Springer US, ISSN 0885-7458 Online ISSN 1573-7640. Link
Shahzadeh Fazeli, S. A. and Emad, Nahid and Liu, Zifan, A key to choose subspace size in implicitly restarted Arnoldi method, Numerical Algorithms, 2015, Vol 70, number 2, pages 407-426, ISSN 1572-9265, DOI=10.1007/s11075-014-9954-5 Link
Ferraro, M.B., Giordani, P., A toolbox for fuzzy clustering using the R programming language. Fuzzy Sets and Systems 279, 1â€“16, 2015.
F. Ferraty, P. Hall (2015). An Algorithm for Nonlinear, Nonparametric Model Choice and Prediction. J. Comput. Graph. Stat., 24, 695-714.
DÃ¼rre, A., Vogel, D., Fried, R. (2015), "Spatial Sign Correlation", Journal of Multivariate Analysis, vol. 135, pages 89-105, 2015. Preprint: http://arxiv.org/abs/1403.7635 Link
Fried, R., Agueusop, I., Bornkamp, B., Fokianos, K., Fruth, J., Ickstadt, K. (2015), â€œRetrospective Bayesian Outlier Detection in INGARCH Series" Statistics and Computing, vol. 25 no. 2, pages 365-374, 2015. Link
Borowski, M., Busse, D., Fried, R. (2015). "Robust Online-Surveillance of Trend-Coherence in Multivariate Data Streams", Statistics and Computing, vol. 25 no. 5, pages 913-928, 2015. Link
Alexander DÃ¼rre, Roland Fried and Tobias Liboschik. Robust Estimation of (Partial) Autocorrelation. Wiley Interdisciplinary Reviews: Computational Statistics, vol. 7 no. 3, pages 205-222, 2015. Preprint: http://dx.doi.org/10.17877/DE290R-13701 Link
Pereira, I., Resch, H., Schwartzhans, F., Wu, J., Holzer, S., Kiss, B., Frommlet, F., Fischer, G., Vass, C. Multivariate model of the intersubject variability of the retinal nerve fiber layer thickness in healthy subjects, 2015, Invest Ophthalmol Vis Sci. 56(9): 5290-5298. Link
IE Venetis, A Kouris, A Sobczyk, E Gallopoulos, AH Sameh. A direct tridiagonal solver based on Givens rotations for GPU architectures Parallel Computing 49, 101-116, https://doi.org/10.1016/j.parco.2015.03.008 Link
Shenify, M., Danesh, A.S., Gocic, M., Taher, R.S., Wahab, A.W.A., Gani, A., Shamshirband, S., Petkovic, D., 2015. Precipitation estimation using support vector machine with discrete wavelet transform. Water Resources Management 30(2), 641-652. DOI: 10.1007/s11269-015-1182-9
Hashim, R., Roy, C., Motamedi, S., Shamshirband, S., Petkovic, D., Gocic, M., Lee, S.C., 2015. Selection of meteorological parameters affecting rainfall estimation using neuro-fuzzy computing methodology. Atmospheric Research 171, 21-30. DOI: 10.1016/j.atmosres.2015.12.002 Link
Gocic, M., Motamedi, S., Shamshirband, S., Petkovic, D., Ch, S., Hashim, R., Arif, M., 2015. Soft computing approaches for forecasting reference evapotranspiration. Computers and Electronics in Agriculture 113, 164-173. DOI: 10.1016/j.compag.2015.02.010 Link
Gocic, M., Motamedi, S., Shamshirband, S., PetkoviÄ‡, D., Ch, S., Hashim, R., Arif, M., 2015. Potential of adaptive neuro-fuzzy inference system for evaluation of drought indices. Stochastic Environmental Research and Risk Assessment 29(8), 1993-2002. DOI: 10.1007/s00477-015-1056-y Link
De la Rosa de SÃ¡a, S.; Gil, M.A.; Gonzalez-Rodriguez, G.; LÃ³pez, M.T.; Lubiano, M.A. (2015). Fuzzy rating scale-based questionnaires and their statistical analysis. IEEE Transactions on Fuzzy Systems. Vol. 23(1), pp. 111-126 Link
Egozcue, J.J., Pawlowsky-Glahn, V., Templ, M., Hron, K. Independence in contingency tables using the simplicial geometry. Communications in Statistics - Theory and Methods, 44 (2015), No. 18, 3978-3996.
Filzmoser, P., Hron, K. Robust coordinates for compositional data using weighted balances. In: Nordhausen, K., Taskinen, S. (2015) Modern nonparametric, robust and multivariate methods. Springer, Heidelberg: 167-184.
Hubert, M., Rousseeuw, P., Segaert, P. (2015). Multivariate functional outlier detection. Statistical Methods & Applications, 24, 177-202. Link
M.D. Jimenez-Gamero, M.V. Alba-Fernandez, P. Jodra, I. Barranco-Chamorro (2015) An approximation to the null distribution of a class of Cramer-von Mises statistics. Mathematics and Computers in Simulation 118, 258â€“272.
J.C. Pardo-Fernandez, M.D. Jimenez-Gamero, A. El Ghouch (2015) Tests for the equality of conditional variance functions in nonparametric regression. Electronic Journal of Statistics 9, 1826â€“1851. Database Link
V. Alba Fernandez, M.D. Jimenez-Gamero (2015) Testing for a class of bivariate exponential distributions, International Journal of Computer Mathematics, 92, 1733â€“1754. Database Link
P. Jodra, M.D. Jimenez-Gamero, M.V. Alba-Fernandez (2015) On the Muth Distribution, Mathematical Modelling and Analysis 20, 291â€“310. Database Link
M.D. Jimenez-Gamero, H.M. Kim (2015) Fast goodness-of-fit tests based on the characteristic function Comput. Statist. Data Anal. 89, 172â€“191.
J.C. Pardo-Fernandez, M.D. Jimenez-Gamero, A. El Ghouch (2015) A nonparametric ANOVA-type test for regression curves based on characteristic functions, Scandinavian Journal of Statistics 42, 197â€“213.
I. Barranco-Chamorro, M.D. Jimenez-Gamero, J.A. Mayor Gallego, J.L. Moreno-Rebollo (2015) A case- deletion diagnostic for penalized calibration estimators and BLUP under linear mixed models in survey sampling. Comput. Statist. Data Anal. 87, 18â€“33.
I. Barranco-Chamorro, J.L. Moreno-Rebollo, M.D. Jimenez-Gamero, V. Alba-FernÃ¡ndez. Estimation of the sample size $n$ based on record values. Mathematics and Computers in Simulation 118 (2015) 58--72.
I. Kojadinovic, H. Shang; J. Yan (2015). A class of goodness-of-fit tests for spatial extremes models based on max-stable processes. Statistics and Its Interface 8:1, 45-62. Link
Alicia Nieto-Reyes Â· Juan A. Cuesta-Albertos. (2015) M. Hubert, P. Rousseeuw and P. Segaert: Multivariate functional outlier detect. Statistical Methods and Applications 24(2) pp 237-243. Link
Rafael Duque Â· Domingo GÃ³mez-PÃ©rez Â· Alicia Nieto-Reyes Â· Crescencio Bravo. (2015) Analyzing collaboration and interaction in learning environments to form learner groups. Computers in Human Behavior 47:42 - 49. Link
Nordhausen, K., Oja, H., Filzmoser, P. and Reimann, C. (2015): Blind Source Separation for Spatially Correlated Compositional Data. Mathematical Geosciences, 47, 753-770.
Illner, K., Miettinen, J., Fuchs, C., Taskinen, S., Nordhausen, K., Oja, H. and Theis, F.J. (2015). Model selection using limiting distributions of second-order source separation algorithms. Signal Processing, 113, 95-103.
Fisher, D. and Oja, H. (2015) Mann-Whitney Type Tests for Microarray Experiments: The R Package gMWT. Journal of Statistical Software, 65.
Miettinen, J., Taskinen, S., Nordhausen, K. and Oja, H. (2015) Fourth Moments and Independent Component Analysis, Statistical Science, 30, 372-390
Matilainen, M., Nordhausen, K. and Oja, H. (2015) New Independent Component Analysis Tools for Time Series. Statistics and Probability Letters, 105, 80-87.
Miettinen, J., Illner, K., Nordhausen, K., Oja, H., Taskinen, S. and Theis, F.J. (2015). Separation of uncorrelated stationary time series using autocovariance matrices. Accepted for publication in Journal of Time Series Analysis.
Article title: Sparse and robust normal and t- portfolios by penalized Lq-likelihood minimization. Article reference: EOR13207. Journal title:Â EuropeanÂ Journal of Operational Research. Corresponding author: Prof. Sandra Paterlini. First author: Dr. Davide Ferrari. Online publication complete: 21-OCT-2015. DOI information: 10.1016/j.ejor.2015.08.056. http://www.sciencedirect.com/ science/article/pii/S0377221715008127
Igor Pruenster, Favaro, S., Lijoi, A., Nava, C., Nipoti, B., PrÃ¼nster, I. and Teh, Y.W. (2015). On the stick-breaking representation for homogeneous NRMIs. Bayesian Analysis, in press.
Igor Pruenster, De Blasi, P., Favaro, S., Lijoi, A., Mena, R., PrÃ¼nster, I. and Ruggiero, M. (2015). Are Gibbs-type priors the most natural generalization of the Dirichlet process? IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 212-229.
Marco Riani, RIANI M., PERROTTA D., CERIOLI A. (2015). The Forward Search for Very Large Datasets, Journal of Statistical Software, Vol. 67, Code Snippet 1, Link
Marco Riani, CORBELLINI A. RIANI M., ATKINSON A.C. (2015). Discussion to the paper by Hubert, Rousseeuw and Segaert: multivariate functional outlier detection. Statistical Methods and Applications Vol. 24, p.257â€“261 Link
Marco Riani, RIANI M., CERIOLI A., PERROTTA D. and TORTI F. (2015). Simulating mixtures of multivariate data with fixed cluster overlap in FSDA. Advances in data analysis and classification. Volume 9, Issue 4, pp 461-481. Link
Marco Riani, SALINI S., CERIOLI A., LAURINI F, RIANI M. (2015). Reliable robust regression diagnostics. INTERNATIONAL STATISTICAL REVIEW, Vol. 84, pp.99-127; Link
Ritz, C., Baty, F., Streibig, J. C., Gerhard, D. (2015). Dose-Response Analysis Using R. PLOS ONE, 10 (12), e0146021 Link
Romo, J., Nicola Mingotti and Rosa Lillo. (2015). A random walk test for functional time series.
Romo, J., E. Buces, C. MartÃnez-Laperche, M.C. Aguilera, A. Picornell, R. Lillo et al.. (2015). A new multiple single-nucleotide polymorphisms based predictive model for grades III to IV and extensive graft versus host disease after identical HLA-allogeneic stem-cell (2015). Blood, 126 (23), 921-921 Link
Romo, J. and Ana Arribas (2015). Multivariate functional outlier detection: Discussion. (2015) Statistical Methods and Applications, 24(2), 263-267. Link
Calvet, L., Czellar, V., Ronchetti, E. (2015), Robust Filtering, Journal of the American Statistical Association, 110, pp. 1591-1606
Avella-Medina, M.; Ronchetti, E. (2015). Robust Statistics : A Selective Overview and New Directions, WIREs Comput. Stat., 7, pp. 372-393
Hubert, M., Rousseeuw, P.J., Vanpaemel, D., and Verdonck, T. (2015), "Deterministic versions of S-estimators and MM-estimators for multivariate location and scatter," Computational Statistics and Data Analysis, 81, 64-75.
Hubert, M., Rousseeuw, P., and Segaert, P. (2015), "Multivariate functional outlier detection," Statistical Methods & Applications, 24, 177-202.
Hubert, M., Rousseeuw, P., and Segaert, P. (2015), "Rejoinder to Multivariate functional outlier detection," Statistical Methods & Applications, 24, 269_277. Link
Rousseeuw, P.J., Van den Bossche, W. (2015). Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination. Test, 24, 473-477. Link
Klimova, A., Rudas, T. (2015) On the closure of relational models, Journal of Multivariate Analysis, 440-452.
Rudas, T. (2015) Directionally collapsible parameterizations of multivariate binary distributions. Statistical Methodology, 27, 132-145.
Klimova, A., Rudas, T. (2015) Iterative Scaling in Curved Exponential Families. Scandinavian Journal of Statistics, 42, 832-847.
Klimova, A., Uhler, C., Rudas, T. (2015) Faithfulness and learning of hypergraphs from discrete distributions. Computational Statistics and Data Analysis, 87, 57-72. Link
Hui, F.K.C., Taskinen, S., Pledger, S., Foster, S.D. and Warton, D.I. (2015), Model-based approach to unconstrained ordination, Methods in Ecology and Evolution, 6, 399-411
Shamshirband, S., Amirmojahedi, M., Gocic, M., Akib, S., Petkovic, D., Piri, J., Trajkovic, S., 2015. Estimation of reference evapotranspiration using neural networks and cuckoo search algorithm. Journal of Irrigation and Drainage Engineering, 04015044. DOI: 10.1061/(ASCE)IR.1943-4774.0000949
F. Durante, J. FernÃ¡ndez SÃ¡nchez, W. Trutschnig: A typical copula is singular, Journal of Mathematical Analysis and Applications 430, 517-527 (2015) 10.1016/j.jmaa.2015.05.009Â Â preprint (pdf)
F. Durante, J. FernÃ¡ndez SÃ¡nchez, W. Trutschnig: Baire category results for exchangeable copulas, Fuzzy Sets and Systems 284, 146-151 (2016) doi:10.1016/j.fss.2015.04.010Â Â preprint (pdf)
J. FernÃ¡ndez SÃ¡nchez, W. Trutschnig (2016). Some members of the class of (quasi-)copulas with given diagonal from the Markov kernel perspective, Communications in Statistics - Theory and Methods 45, 1508-1526.
J. FernÃ¡ndez SÃ¡nchez, W. Trutschnig (2015). Conditioning based metrics on the space of multivariate copulas and their interrelation with uniform and levelwise convergence and Iterated Function Systems, Journal of Theoretical Probability 28, 1311-1336.
F. Durante, J. FernÃ¡ndez SÃ¡nchez, W. Trutschnig (2015). On the singular components of a copula, Journal of Applied Probability 52, 1175-1182, doi:10.1239/jap/1450802760
J. Fernandez Sanchez, W. Trutschnig (2015). Singularity aspects of Archimedean copulas, Journal of Mathematical Analysis and Applications 432, 103-113 (2015) doi:10.1016/j.jmaa.2015.06.036
Stefan Van Aelst, Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination, Test, 24 (3), 478-481. http://dx.doi.org/10.1007/s11749-015-0456-0. Link
Sinova, B. and Van Aelst, S. (2015). On the Consistency of a Spatial-Type Interval-Valued Median for Random Intervals. Statistics & Probability Letters, 100, 130-136. Link
Cevallos Valdiviezo, H., Van Aelst, S. (2015). Tree-based prediction on incomplete data using imputation or surrogate decisions. Information Sciences, 311, 163-181. Link
Roberto Casarin, , University Ca' Foscari of Venice and GRETA; Stefano Grassi, Kent University; Francesco Ravazzolo, University of Bolzano; Herman K. van Dijk, Erasmus University Rotterdam, and VU University Amsterdam, 2015, Parallel Sequential Monte Carlo for Efficient Density Combination, The Deco Matlab Tool box, Journal of Statistical Software, Vol. 68, http://www.jstatsoft.org/article/view/v068i03 Link
B. Fastrich, S. Paterlini and P. Winker (2015): â€œConstructing Optimal Sparse Portfolios Using Regularization Methodsâ€, Computational Management Science, 12, 417â€“434, doi: 10.1007/s10287-014-0227-5.
H. Fischer, A. Blanco-FernÃ¡ndez and P. Winker (2015): â€œPredicting stock return volatility: can we benefit from regression models for return intervals?â€ Journal of Forecasting 35, 113-146. doi: 10.1002/for.2371
H. LÃ¼tkepohl, A. Staszewska-Bystrova, P. Winker (2015): â€œComparison of Methods forÂ Constructing Joint Confidence Bands for Impulse Response Functionsâ€,Â International Journal of Forecasting, 31, 782â€“798, doi:10.1016/j.ijforecast.2013.08.003.
H. LÃ¼tkepohl, A. Staszewska-Bystrova, P. Winker (2015): â€œConfidence Bands for Impulse Responses: Bonferroni versus Waldâ€, Oxford Bulletin of Economics and Statistics, 77(6), 800-821, doi: 10.1111/obes.12114.
M. Lyra, A. Onwunta and P. Winker (2015): â€œThreshold Accepting for Credit Risk Assessment and Validationâ€, Journal of Banking Regulation 16,2, 130-145, doi:10.1057/jbr.2013.26.
A. Staszewska-Bystrova and P. Winker (2015): â€žImproved bootstrap prediction intervals for SETAR modelsâ€, Statistical Papers 57, 89-98, doi: 10.1007/s00362-014-0643-1.
G. A. Young, with T.J. DiCiccio, T. A. Kuffner and R. Zaretzki `Stability and uniqueness of $p-$values for likelihood-based inference'. {\it Statistica Sinica}, {\bf25}, 1355--1376 (2015).
G. A. Young, with T.J. DiCiccio and T. A. Kuffner `Quantifying nuisance parameter effects via decompositions of asymptotic refinements for likelihood-based statistics'. {\it J. Stat. Plan. Inference}, {\bf 165}, 1--12 (2015).
G. A. Young, with D. Ruan and G. Montana `Differential analysis of biological networks'. {\it BMC Bioinformatics}, {\bf 16}: 1277 (2015).

Contribution in book (2015)

I.C. Demetriou and S.S. Papakonstantinou, Data Analysis by Diminishing Rates of Change and L1 Approximation. In: IAENG Transactions on Engineering Sciences â€“ Special Issue for the International Association of Engineers Conferences 2014 (editors: Sio-long Ao, Alan Hoi-shou Chan, Hideki Katagiri, Li Xu), World Scientific, New Jersey, 2015, pp. 233-246 Link
I.C. Demetriou, An Example of Peak Finding in Univariate Data by Least Squares Approximation and Restrictions on the Signs of the First Differences. In: Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2015 (editors S. I. Ao, L. Gelman, D.W.L. Hukins, A. Hanter, A.M. Korsunsky), WCE 2015, July 1 â€“ 3, 2015, London, U.K., Vol I, pp. 670-675. Certificate of Merit of The 2015 International Conference of Computational Statistics and Data Engineering. Link
I.C. Demetriou, On the Sensitivity of Least Squares Data Fitting by Nonnegative Second Divided Differences. In: Optimization, Control and Applications in the Information Age (editors: A. Migdalas, A. Karakitsou), Springer Proceedings in Mathematics and Statistics 130, Springer International Publishing, Switzerland 2015, pp. 91-112. Link
Ferraro, M.B., Vichi, M., Fuzzy Double Clustering: A Robust Proposal. In: Strengthening Links Between Data Analysis and Soft Computing. vol. 315, p. 225-232, Przemyslaw Grzegorzewski, Marek Gagolewski, Olgierd Hryniewicz, MarÃa Ãngeles Gil, ISBN: 978-3-319-10764-6
Herold Dehling, Roland Fried, Isabel Garcia and Martin Wendler. Change-Point Detection under Dependence Based on Two-Sample U-Statistics. In D. Dawson, R. Kulik, M. Ould Haye, B. Szyskowicz and Y. Zhao, editors, Asymptotic Laws and Methods in Stochastics - A Volume in Honour of MiklÃ³s CsÃ¶rgo, pages 195-220. Springer-Verlag, New York, 2015
Daniel Vogel and Roland Fried. Robust Change Detection in the Dependence Structure of Multivariate Time Series. In Klaus Nordhausen and Sara Taskinen, editors, Modern Nonparametric, Robust and Multivariate Methods, pages 265-288. Springer International Publishing, Cham, 2015
A. BÃ¼cher and I. Kojadinovic (2015). An overview of nonparametric tests of extreme-value dependence and of some related statistical procedures. In: D. Dey and J. Yan: Extreme Value Modeling and Risk Analysis: Methods and Applications. Crc Press Inc, 377-398. Link
Rafael Duque, Alicia Nieto-Reyes. (2015) Measuring the usability of groupware applications with a model-driven method for the user interaction analysis. InteracciÃ³n '15 Proceedings of the XVI International Conference on Human Computer Interaction. Article No. 44. ISBN: 978-1-4503-3463-1. Link
Ilmonen, P., Nordhausen, K., Oja, H. and Theis, F.J. (2015) An Affine Equivariant Robust Second Order Blind Source Separation Method. In Vincent, E., Yeredor, A., Koldovsky, Z. and Tichavsky, P. (editors) "Latent Variable Analysis and Signal Separation", LNCS 9237, 328-335, Springer.
Roberta Pappada, F. Durante and R. PappadÃ (2015). Cluster analysis of time series via Kendall distribution. In: P. Grzegorzewski, M. Gagolewski, O. Hryniewicz, and M.A. Gil, editors, Strengthening Links Between Data Analysis and Soft Computing, volume 315 of Advances in Intelligent Systems and Computing, pp 209â€“216. Springer International Publishing DOI: 10.1007/978-3-319-10765-3_25. Link
Roberta Pappada, R. PappadÃ , E. Perrone, F. Durante and G. Salvadori (2015). A semi-parametric approach in the estimation of the structural risk in environmental applications. In: A. FassÃ² and A. Pollice (Editors). Proceedings of the GRASPA2015 Conference, Bari, 15-16 June, 2015. Special issue of GRASPA Working Papers. ISSN 2037-7738. Link
Marco Riani, ATKINSON A.C., CERIOLI A., MORELLI G., RIANI M., (2015). Finding the Number of Sisparate Clusters with Background Contamination (invited paper). In Lausen et al., Data Science, Learning by Latent Structures, and Knowledge Discovery Analysis, Springer, Berlin. pp. 29-41
F. Durante, J. FernÃ¡ndez SÃ¡nchez, W. Trutschnig: Singular copulas, Oberwolfach Reports, 2015(20), 40-43 doi:10.4171/OWR/2015/20

Conference presentation (2015)

Batagelj, V. (2015). Corrected network measures. CMStatistics (ERCIM) 2015, Senate House, University of London, December 12-14. Link
On a large class of models for recurrent events for which profile likelihood inference fails. Eric Beutner, Laurent Bordes and Laurent Doyen. European Meeting of Statisticians, Amsterdam, July 6-10, 2015.
Enea Bongiorno, 21-25/09/2015, Vienna, Austria. "8th International Workshop on Simulation" Link
Eva Cantoni, Robust state space models (Organized invited session "Robust statistical modelling", Chair: Alfio Marazzi ) 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), 12-14 December, London.
A Lindner, M Hall, C Niemeyer, S Caton; BeWell: A Sentiment Aggregator for Proactive Community Management; Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems; 1055-1060 Link
Ana Colubi, Keynote talk: Hypothesis testing about the expected value of random intervals. SIDM 2015, Beijing, China Link
I.C. Demetriou, â€˜An Example of Peak Finding in Univariate Data by Least Squares Approximation and Restrictions on the Signs of the First Differences Internationalâ€™, in The Conference of Computational Statistics and Data Engineering, WCE 2015, July 1 â€“ 3, 2015, Imperial College, London, U.K. Link
I.C. Demetriou, â€˜Piecewise monotonic approximation for estimating the extreme values of a function from large sets of noisy measurements of its valuesâ€™, at CMStatistics 2015, December 12-15, 2015, University of London Link
F Marta L Di Lascio, Simone Giannerini (2015). CoImp: a copula-based imputation method. Proceedings of IWS2015 - Eight International Workshop on Simulation (Wien, Austria), p. 69-70, ISBN: 978 3 900932 28 2. Link
Fabrizio Durante, Invited talk titled "Copula-based fuzzy clustering of time series", during specialized session on -Clustering in time series- at the 10th Scientific Meeting of the Classification and Data Analysis Group, Cagliari (Italy), 8-10 October 2015. Link
Durante, F. (2015). Extensions of subcopulas. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), London (UK), 12-14 December 2015.
Ferraro, M.B., Giordani, P., Vichi, M., A general method for clustering in a reduced subspace. International Meeting of the Psychometric Society (IMPS2015), July 12-16, 2015, Beijing, China.
Ferraro, M.B., Giordani, P., Vichi, M., A general method for fuzzy partitioning and component analysis. The 2015 conference of the International Federation of Classification Societies (IFCS2015), July 6-8, 2015, Bologna, Italy (invited).
Ferraro, M.B., Giordani, P., A possibilistic fuzzy k-means clustering algorithm for fuzzy data. The 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics2015), December 12-14, 2015, Senate House, University of London, UK.
Paolo Foschi (2105), "Dickey-Fuller, Sup-Dickey-Fuller and Cauchy-Dirichlet problems", Workshop of PRIN project "Forecasting economic and financial time series: understanding the complexity and modelling structural change", Bologna, November 12-13, 2015 Link
R. Fried, H. Dehling, M. Wendler: "Robust and nonparametric detection of shifts in Time Series", keynote talk at the 9th International Statistics Congress of the Turkish Statistical Association, Antalya, Turkey, 28.10.-01.11.2015.
R. Fried, "Robust and nonparametric detection of shifts using two-sample U-statistics and U-quantiles", Workshop: Recent developments in statistics for complex dependent data, Loccum, Germany, 27.â€“30.08.2015.
R. Fried, H. Dehling, M. Wendler, "Robust and nonparametric detection of shifts using two-sample U-statistics and U-quantiles", 2nd workshop on goodness-of-fit and change-point problems, Athens, Greece, 4.â€“6.09.2015.
Florian Frommlet, An adaptive ridge procedure for L0 regularization, CMStatistics 2015, London, December 13
Florian Frommlet, An adaptive ridge procedure for L0 regularization, Eighth International Workshop on Simulation, Vienna, September 23
Florian Frommlet, MOSGWA, a model selection based software environment for GWAS analysis, Statistical Modeling of Cancer Genetic Predisposition workshop, COST Action no. BM1206, Vienna, March 3
Gil Gonzalez-Rodriguez, Keynote talk: Linear regression models for interval data based on the setâ€arithmetic. SIDM 2015, Beijing, China. Link
Invited talk: Blanco-Fernandez, A., Gonzalez-Rodriguez. G. (2015). Robust techniques to estimate linear regression models for interval-valued data. CMStatistics 2015, London, UK. Link
Stella Hadjiantoni. A numerical method for the estimation of high-dimensional time-varying parameters models. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), University of London, UK, 12-14 December 2015.
M.D. Jimenez-Gamero, J.L. Moreno-Rebollo, J.A. Mayor-Gallego, On the estimation of the characteristic function in finite populations with applications, GOF DAYS 2015: 2nd Workshop on Goodness-of-Fit and Change-point problems, Athens, 4â€“6 Sept., 2015.
M.D. Jimenez-Gamero, M.V. Alba Fernandez, P. Jodra, I. Barranco Chamorro, Fast goodness-of-fit tests for the two-sample problem based on the characteristic function, MAMERN15, Pau, May 2015.
M.D. Jimenez-Gamero, J.L. Moreno-Rebollo, J.A. Mayor-Gallego, On the estimation of the characteristic function in finite populations with applications, ERCIM 2015, London, 12--14 December, 2015.
Maria Dolores Jimenez-Gamero, M.D. Jimenez Gamero, M.V. Alba FernÃ¡ndez, P. JodrÃ¡, I. Barranco Chamorro, A bootstrap test for the k-sample problem, XV Conferencia EspaÃ±ola y V Encuentro Iberoamericano de BiometrÃa, Bilbao 23--25, Septiembre 2015
Nordhausen, K., Liski, E., Oja, H. and Ruiz-Gazen, A. (2015): Combining Linear Dimension Reduction Estimates. Accepted for publication in the Proceedings of the ICORS 2015 conference.
Hannu Oja, "Multivariate Nonparametric Methods Based on Spatial Signs and Ranks" International Conference on Robust Rank-Based and Nonparametric Methods Western Michigan University Kalamazoo, April 9-10, 2015
Hannu Oja, "Non-parametric and semi-parametric methods" Multivariate Analysis Today: Topical Expository Reviews (MATTER), Milton Keynes, May 18, 2015
Hannu Oja, "Goodness-of-fit for dimension reduction", 2nd Workshop on Goodness-of-Fit and Change-point problems, Athens, September 4-6, 2015
Hannu Oja, "Subspace estimation in linear dimension reduction" Present and Future Challenges in Robust Statistics, Banff, November 16-20, 2015
P. Paoullis, A. Colubi, E.J. Kontoghiorghes, Efï¬cient algorithm for solving the cumulative link model, CMStatistics 2015, December 12-14, London, UK. Link
Roberta Pappada, Roberta PappadÃ (2015). Understanding and visualizing complex dependencies for Risk Assessment. CMStatistics (ERCIM) 2015, Senate House, University of London, UK, December 12-14.
Roberta Pappada, R. PappadÃ , F. Durante, N. Torelli (2015). A Graphical copula-based tool for detecting tail dependence. CLADAG 2015: 10th scientific meeting of the Classification and Data Analysis Group, Santa Margherita di Pula (Cagliari), Italy, October 8-10.
Sandra Paterlini, CRoNos kick off - Rome, June 2015: Italian Banking Association, Chairman Session on Operational Risk, Rome, 2015
Igor Pruenster, Keynote talk in 10th Conference on Bayesian Nonparametrics, Raleigh, USA.
Christian Ritz, "Using functional singular components to obtain correlations with an application to a dietary study", CMStatistics 2015, London.
Romo, J. and Ana Arribas-Gil. Robust analysis of high-dimensional functional data . 8th International Conference on Computational and Methodological Statistics and 9th International Conference on Computational and Financial Econometrics (CMStatistics 2015). Invited special session. London, United Kingdom. December, 2015.
Romo, J. Depth and functional data analysis. 8th International Conference on Computational and Methodological Statistics and 9th International Conference on Computational and Financial Econometrics (CMStatistics 2015). Invited session organizer. London, United Kingdom. December, 2015.
Romo, J., Rosa Lillo and RamÃ³n Flores. Distances between functional samples based on depth measures. German Statistical Week 2015. Invited session. Hamburgo, Germany. September, 2015.
Romo, J. and Ana Arribas-Gil. High-dimensional outliers and depth: the outliergram. Joint Statistical Meetings (JSM 2015). Invited session. Seattle, USA. August, 2015.
Romo, J. Methodological advances in statistics related to big data. Castro Urdiales-Cantabria, Spain. June, 2015.
Romo, J., Rosa Lillo and Nicola Mingotti. Random walk test for functional autoregressive processes of order one. XXXV Congreso Nacional de EstadÃstica e InvestigaciÃ³n Operativa (SEIO 2015). Pamplona, Spain. May, 2015.
Ronchetti, E., Robust Filtering, Workshop on Current and Future Challenges in Robust Statistics, Banff International Research Station for Mathematical Innovation and Discovery, November 17, 2015.
Taskinen, S. (2017): Efficient second order blind identification (SOBI) method for separation of uncorrelated stationary time series, ERCIM2015, London, UK, 12.12.2015
Taskinen, S. (2015): Efficient second order blind identification (SOBI) method for separation of uncorrelated stationary time series, ERCIM2015, London, UK, 12.12.2015
Trutschnig, W. (2015). On sharp inequalities between Kendall's tau and Spearman's rho. CMStatistics 2015, December 12 2015, London, UK.
Van Aelst, S., Cevallos-Valdiviedo H., Salibian-Barrera, M. Robust Functional Principal Components by Least Trimmed Squares. Workshop on Current and Future Challenges in Robust Statistics, Banff International research Station (Canada), November 15 - November 20, 2015. Link
Peter Winker, Economic Research Seminar, University of Osnabrueck, 19.5.2015, Joint Confidence Bands for Forecast Paths and Impulse Responses
Peter Winker, Economic Research Seminar, University of Heidelberg, 20.7.2015, Joint Confidence Bands for Forecast Paths and Impulse Responses
Peter Winker, Economic Research Seminar, Cyprus University of Technology, Limassol, October, 10th 2015, Joint Confidence Bands for Forecast Paths and Impulse Responses
`Distribution of likelihood-based p-values under the alternative hypothesis', A. Young and S. Lee, at CMStatistics 2015, London, December 2015.
R. Dogaru, F. Micota, D. Zaharie (2015). Taxonomy-based dissimilarity measures for profile identification in medical data. 2015 IEEE 13th International Symposium on Intelligent Systems and Informatics (SISY), DOI: 10.1109/SISY.2015.7325369 Link
R. Dogaru, F. Micota, D. Zaharie (2015). Searching for Taxonomy-based Similarity Measures for Medical Data Proceeding. Proceedings of the 7th Balkan Conference on Informatics Conference Article No. 27, doi>10.1145/2801081.2801102 Link

Projects (2015)

Ana Arribas-Gil, "SelecciÃ³n de factores en la gestiÃ³n del riesgo. Contribuciones al sector asegurador con especial atenciÃ³n a dependencia y longevidad", MTM2014-56535-R, 2015-2017. IP: Aurea GranÃ© ChÃ¡vez (UC3M) Programa Estatal de I+D+i Orientada a los Retos de la Sociedad. MINECO, EspaÃ±a. Link
Ana Arribas-Gil, "Big data y datos complejos en empresa y finanzas",ECO2015-66593-P, 2016-2019. IPs: Daniel PeÃ±a and Juan Romo (UC3M) Programa Estatal de fomento de la investigaciÃ³n cientÃfica y tÃ©cnica de excelencia. MINECO, EspaÃ±a. Link
Eric Beutner, "Bootstrap Inference for Risk Measures", Dutch Research Foundation (NWO), 01/09/2015 - 30/08/2019. Link
Enea Bongiorno, 03/2015 - 03/2016 P.I. "Modelli probabilistici in spazi infinito-dimensionali. Applicazioni alla statistica funzionale.", (National Grant by "Istituto Nazionale di Alta Matematica - Gruppo Nazionale di Analisi Matematica, ProbabilitÃ e Applicazioni") Link
Carmen Cadarso Suarez, Inference in Structured Additive Regression (STAR) Models with Extensions to Multivariate Responses. Applications in Biomedicine (STARDIAB). Funding Entity: Ministry of Economy and Competitiveness (SPAIN). Call: Research Societal Challenges-R&D Projects. Principal Investigator (PI): Carmen Cadarso SuÃ¡rez. Duration of the project: 2015-2017.
Ana Colubi, CMStatistics-Mieres. Asturias (Spain) Regional project co-funded by European Regional Development Fund. 2015-2017. 79000 euros. Other COST researchers: Gil GonzÃ¡lez-RodrÃguez, Marta GarcÃa-Barzana, Corsino Rey Link
Approval by the University of Athens of the Research Project: â€œI.C. Demetriou, An Application to Modeling Human Life Expectancy Data vs GDP by Diminishing Rates of Change and L1 Approximationâ€, September 2015
Fabrizio Durante, Team member of the project "Applications of Measure Theory and Copula Theory. Construction of Stochastic Models (Project MTM2014-60594)", sponsored by Ministerio de EconomÄ±a y Competitividad, Spain (Coordinator: E. de Amo, University of AlmerÄ±a, Spain). Period: 2015-2017.
Elena Fernandez Iglesias, LIFE ARCOS. Conserving Cantabrian Dunes (2014-2019).LIFE13 NAT/ES/000883. LIFE programme (2014-2020), European Commission. Including statistical analysis of wave, wind and sea level databases. Link Database Link
Maria Brigida Ferraro, Ateneo 2015 project, Sapienza University of Rome (approved). "Latent Variable Models for Complex Data Structures, with a focus on Categorical Responses" (P.I.: Marco AlfÃ², Sapienza University of Rome)
Gil Gonzalez-Rodriguez, Forest fires prevention in Asturias. Principado de Asturias. Link
Maria Dolores Jimenez-Gamero, Title: InvestigaciÃ³n en validaciÃ³n de modelos. Reference: UJA2013/08/01 Granted by: Universidad de JaÃ©n and Caja Rural Provincial of JaÃ©n. Chair: M.V. Alba FernÃ¡ndez.
Maria Dolores Jimenez-Gamero, Title: EstadÃstica e InvestigaciÃ³n Operativa (IO1)-ConsolidaciÃ³n e EstructuraciÃ³n de Grupos de Referencia Competitiva. Reference: CN2012/180 Granted by: Xunta de Galicia - ConsellerÃa de Cultura, EducaciÃ³n e OrdenaciÃ³n Universitaria. Chair: Jacobo de UÃ±a Ãlvarez.
Maria Dolores Jimenez-Gamero, Title: Avances metodolÃ³gicos y computationales en estadÃstica noparamÃ©trica y semiparamÃ©trica. Reference: MTM2014-55966-P Granted by: Ministerio de EconomÃa y Competitividad (EspaÃ±a). Chair: Jacobo de UÃ±a Ãlvarez.
Sandra Paterlini, Research project with Prof. Durante, Univ Bolzano onÂ Operational Risk Data and Tail Clustering
Sandra Paterlini, Submission of a research proposalÂ to DIPO, Italian Banking association for having access toÂ operational risk data. Approved.
Christian Ritz, PhD project application: "Towards reproducibility in analysis of big data"
Christian Ritz, Marie Curie Individual Fellowships application: "UnSniP"
Juan Romo, Computationally-intensive methods for the robust analysis of non-standard data (CroNos). COST Action. European Union (2015-2019)
Van Aelst, S., Hubert, M, Rousseeuw, P.J., and Verdonck, T. Statistical Methodology for Immense Lively Experiments (SMILE). KU Leuven research project, 2015-2021.
Alastair Young, Submission of a research grant application `Objective hayes, Bootstrap and High-dimensional Inference' to the UK EPSRC.

Software (2015)

Malgorzata Bogdan - R package SLOPE on CRAN. Authors: Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su, Emmanuel Candes, Evan Patterson. Maintainer: Evan Patterson. Link
Malgorzata Bogdan - R package varclust, currently on github. Authors: Piotr Sobczyk, Julie Josse, Malgorzata Bogdan. Maintainer: Piotr Sobczyk Link
During April â€“ September 2015, as part of his research work, I.C. Demetriou has developed a Fortran package that implements a new algorithm for least squares piecewise monotonic data approximation (in three versions).
F Marta L Di Lascio, and Simone Giannerini (2015) â€œCoClust: Copula Based Cluster Analysisâ€, R Software Package. Link
R package: fclust Title: Fuzzy Clustering Version: 1.1.2 Date: 2015-09-06 Author: Paolo Giordani, Maria Brigida Ferraro Link

Reports (2015)

Rousseeuw, P.J., Hubert, M. (2015). Statistical depth meets computational geometry: a short survey. Link

Others (2015)

Enea Bongiorno, ERCIM Organized Invited Session: ``Non- and semi-parametric approaches in functional statistics''
Ioannis Demetriou, Visitor of Cambridge University in May 2015 and in November 2015
I.C. Demetriou participated in the â€˜Deucalion Summer Institute for Advanced Studies in Optimization, Mathematics, and Data Sciencesâ€™, August 10-20, 2015, Drossato, Argithea, Greece. Link
F Marta L Di Lascio, Organizer of the special session on â€œDependence models in biostatistics and bioinformaticsâ€ at the 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Senate House, University of London, UK, December 12th-14th, 2015. Link
Maria Brigida Ferraro, Organization of the 1st Working Group Meeting of CRoNoS Action in Rome, June 19-20, 2015.
Maria Brigida Ferraro, Visit of Dr. Ana BelÃ©n Ramos-Guajardo (Unversity of Oviedo, Spain) for working in my group at the Department of Statistical Sciences, Sapienza University of Rome (November 15- December 16, 2015). Topic: Robust fuzzy clustering methods for non-precise data.
Roland Fried, Organized session at the CMStatstistics 2015 - London
Milan Gocic carried out the mobility activity for teaching from 9th to 13th May 2016 at the Faculty of Civil and Environmental Engineering, Bialystok University of Technology, Poland; Staff Mobility Agreement no. 15/PD/2015/2016.
Gil Gonzalez-Rodriguez, Invited Session at CMStatistics 2015: Statistics for Hilbert spaces. Link
Research Stay 15-17/11/2015 Toulouse School of Economics, Toulouse, France. Seminar talk â€“ Hron, K. Regression analysis for compositional data using the logratio methodology
Maria Dolores Jimenez-Gamero, Seminar: Fast goodness-of-Fit tests based on the characteristic function. Organized by: Grupo SIDOR, Universidad de Vigo. Vigo, July 2015
Maria Dolores Jimenez-Gamero, Seminar: Fast goodness-of-Fit tests based on the characteristic function. Organized by: Departamento de Matematicas, Universidad de Antofagasta. Antofagasta (Chile), October 2015
Special issue CFEnetwork: The annals of computational and financial econometrics, 3rd issue. Guest Editors: Kontoghiorghes, E.J., Van Dijk, H.K. Link
Hannu Oja, Seminar talks, visits : Pennsylvania State University (April, 2015), University of Cambridge (May, 2015)
Sandra Paterlini, Participation in Deutsch Bundesbank Workgroup on Big Data, Coordinator: Prof. Falko Fecht, Frankfurt School of Finance, Frankfurt, Germany
Sandra Paterlini, Seminar at EBS University from Prof. Caporin Massimiliano, Univ. PadovaÂ
Sandra Paterlini, Research stay at the Univ. Bergamo, 2 weeks July 2015
Sandra Paterlini, Cronos class in London for Margherita Giuzio, Ebs Phd student
Wolfgang Trutschnig, Co-Organizer of the sessions Dependence models and copulas I-III at the CMStatistics 2015, December 12-14 2015, London, UK (together with Fabrizio Durante)
Wolfgang Trutschnig, Organizer of the session Copulas at the Osterreichische Statistiktage 2015, October 21-23 2015, Vienna, Austria
Stefan Van Aelst, Seminar on Robust Inference in the Seemingly Unrelated Regressions Model. University of Ulm, Institute of Statistics, May 27, 2015, Link
Stefan Van Aelst, Seminar on Robust Inference in the Seemingly Unrelated Regressions Model. Paris Lodron University of Salzburg, Institute of Mathematics, May 29, 2015. Link
Peter Winker, Visit to Cyprus University of Technology (Erricos Kontoghiorghes), 9. â€“ 12.10.2015
Peter Winker, Visit from Marta GarcÃa-BÃ¡rzana and Ãngela Blanco FernÃ¡ndez, Universidad de Oviedo, 21.5. â€“ 20.6.2015
Peter Winker, Visit from Ana Colubi, Universidad de Oviedo, 8.6. â€“ 11.6.2015