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Robust Statistics

Scientific experiments often generate a large number of measurements. Also in an industrial or business environment, the number of available variables for different products or customers may become huge, due to ever more powerful monitoring systems. Multivariate statistical modeling is typically used to understand better the relationships between different variables, but their use becomes cumbersome if a high number of variables is measured. In this case, the use dimension reduction techniques, becomes appropriate. Another issue is that a traditional multivariate approach is based on over-simplified models, like multivariate normality. The use of robust methods not depending on unrealistic model assumptions is indispensable, and allows extracting features and structures in the data in a reliable way. While robust methods are well established for dealing with simple models, as the regression and location-scale model, there is still work to do for more complicated, multivariate and non-linear models. Since atypical observations are frequently present when analyzing complex data sets, new robust methods need to be introduced. Practical implementation and computational feasibility are of major importance in robust data mining.

Co-Chairs
Christophe Croux, Edhec Business School, France.
Elvezio Ronchetti, University of Geneva, Switzerland.
Stefan Van Aelst, Ghent University, Belgium.
Members
  1. M Rauf Ahmad, Uppsala University, Sweden.
  2. Fatemah Alqallaf, Kuwait University, Kuwait.
  3. Aurore Archimbaud, Toulouse School of Economics, France.
  4. Olcay Arslan, Ankara University, Turkey.
  5. Anthony Atkinson, London School of Economics, United Kingdom.
  6. Marco Avella Medina, University of Geneva, Switzerland.
  7. Vladimir Batagelj, IMFM, Slovenia.
  8. Tadeusz Bednarski, Wroclaw University, Poland.
  9. Ana Maria Bianco, Universidad de Santiago de Compostela, Spain.
  10. Marco Cattaneo, University of Hull, United Kingdom.
  11. Andrea Cerioli, University of Parma, Italy.
  12. Holger Cevallos Valdiviezo, Ghent University, Belgium.
  13. Hao Chen, University of California at Davis, United States.
  14. Pavel Cizek, Tilburg University, Netherlands.
  15. Gabriela Cohen Freue, University of British Columbia, Canada.
  16. Italo Raony Costa Lima, Auburn University, United States.
  17. Ruben Crevits, KU Leuven, Belgium.
  18. Frank Critchley, Open University, United Kingdom.
  19. Gabriella Dellino, National Research Council of Italy, Italy.
  20. Safa Elsheikh, University of Brighton, United Kingdom.
  21. Istvan Fazekas, University of Debrecen, Debrecen, Hungary.
  22. Peter Filzmoser, Vienna University of Technology, Austria.
  23. Shuai Fu, SUPSI, Switzerland.
  24. Hironori Fujisawa, Institute of Statistical Mathematics, Japan.
  25. Luis Angel Garcia-Escudero, Universidad de Valladolid, Spain.
  26. Alfonso Garcia-Perez, UNED, Spain.
  27. Ursula Gather, University of Dortmund, Dortmund, Germany.
  28. Luca Greco, University of Sannio - Benevento, Italy.
  29. Luigi Grossi, University of Verona, Italy.
  30. Fang Han, University of Washington, United States.
  31. Rustam Ibragimov, Imperial College London and St. Petersburg State University, United Kingdom.
  32. Luan Jaupi, CNAM, France.
  33. Jana Jureckova, Charles University in Prague, Czech Republic.
  34. Tonu Kollo, University of Tartu, Estonia.
  35. Andrzej Kosinski, Duke University, United States.
  36. Sonja Kuhnt, Dortmund University of Applied Sciences and Arts, Germany.
  37. Andy Leung, Universtiy of British Columbia, Canada.
  38. Quefeng Li, University of North Carolina - Chapel Hill, United States.
  39. Isabella Locatelli, University of Lausanne, Switzerland.
  40. Alfio Marazzi, University of Lausanne, Switzerland.
  41. Ricardo Maronna, University of La Plata, Argentina.
  42. Agustin Mayo-Iscar, Universidad de Valladolid, Spain.
  43. Mehmet Can Mert, Vienna University of Technology, Austria.
  44. Karen Messer, University of California, San Diego, United States.
  45. Stephan Morgenthaler, EPFL, Switzerland.
  46. Christophe Muller, Aix-Marseille School of Economics, France.
  47. Neyko M. Neykov, National Institute of Meteorology and Hydrology, Sofia, Bulgaria.
  48. Alicia Nieto-Reyes, Universidad de Cantabria, Spain.
  49. Hannu Oja, University of Turku, Finland.
  50. Frederic Pascal, CentraleSupelec, France.
  51. Leto Peel, UCLouvain, Belgium.
  52. Daniel Pena, Universidad Carlos III de Madrid, Spain.
  53. Ana Maria Pires, Instituto Superior Tecnico, Lisboa, Portugal.
  54. Marco Riani, University of Parma, Italy.
  55. Juan Romo, Universidad Carlos III de Madrid, Spain.
  56. Elvezio Ronchetti, University of Geneva, Switzerland.
  57. Peter Rousseeuw, KU Leuven, Belgium.
  58. Anne Ruiz-Gazen, Toulouse School of Economics, France.
  59. Matias Salibian-Barrera, The University of British Columbia, Canada.
  60. Beatriz Sinova, University of Oviedo, Spain.
  61. Peter Slock, Ghent University, Belgium.
  62. Garth Tarr, University of Sydney, Australia.
  63. Aida Toma, Bucharest Academy of Economic Studies, Romania.
  64. Stefan Van Aelst, University of Leuven, Belgium.
  65. Wannes Van den Bossche, KU Leuven, Belgium.
  66. Tim Verdonck, UAntwerp, KU Leuven, Belgium.
  67. Stephen Jun Villejo, University of the Philippines, Philippines.
  68. Jan Amos Visek, Charles University in Prague, Czech Republic.
  69. Dietrich von Rosen, Swedish University of Agricultural Sciences, Uppsala, Sweden.
  70. Yixin Wang, University of Leuven, Belgium.
  71. Douglas Wiens, University of Alberta, Canada.
  72. Min-ge Xie, Rutgers University, United States.
  73. Ximing Xu, Nankai University, China.
  74. Yukai Yang, Uppsala University, Sweden.