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:
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.
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.