CMStatistics 2022

CMStatistics 2022 hybrid conference

The 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022) will be hosted by King's College London, 17-19 December 2022. Tutorials will also be given on Friday, the 16th of December 2022.

Due to the COVID-19 pandemic, the conference will be hybrid:

Session organizers will choose either the in-person, the hybrid or the virtual option.
Invited speakers should coordinate their presentation mode with the session organizers.
Contributed speakers can choose the option of in-person or virtual presentation.
Session organizers and contributed speakers will be able to change their contribution mode until the 15th of October 2022. After that date, any change is subject to availability.
All the keynote talks, the special invited sessions, the hybrid organized sessions, and the virtual sessions will be live-streamed on Zoom for all the conference participants.
The Poster Sessions will be virtual.
All the participants can attend the conference in person, even if they choose a virtual oral presentation or a poster.

This conference is organized by the CMStatistics, King's Business School, and King's Department of Mathematics. The journal Econometrics and Statistics (EcoSta) and the CSDA Annals of Statistical Data Sciences are the main sponsors of the conference. For further information, please contact info@CMStatistics.org or visit the CMStatistics website. Click on the following link if you wish to become a member of CMStatistics.

The conference will take place jointly with the 16th International Conference on Computational and Financial Econometrics (CFE 2022). It has a high reputation for quality presentations. The last in-person edition of the joint conference CFE-CMStatistics gathered over 1900 participants, while about 1650 participants attended the hybrid CFE-CMStatistics 2021.

Aims and Scope

All topics within the Aims and Scope of the ERCIM Working Group CMStatistics will be considered for oral and poster presentation.

Topics include, but are not limited to, robust methods, statistical algorithms and software, high-dimensional data analysis, statistics for complex data, extreme value modeling, quantile regression and semiparametric methods, model validation, functional data analysis, Bayesian methods, biostatistics, optimization heuristics in estimation and modelling, computational econometrics, quantitative finance, statistical signal extraction and filtering, small area estimation, latent variable and structural equation models, mixture models, matrix computations in statistics, time series modeling and computation, optimal design algorithms, causal inference, network data, graphical models, and computational statistics for clinical research.

Those papers containing strong computational, statistical, or econometric elements or substantive data-analytic components can be submitted for publication either in the CSDA Annals of Statistical Data Sciences or Econometrics and Statistics.