- Website launch (22.Jan.2024)
- Important dates (22.Jan.2024)
The 18th International Joint Conference on Computational and Financial Econometrics (CFE) and Computational and Methodological Statistics (CMStatistics), CFE-CMStatistics 2024, will be hosted by King's College London, 14-16 December 2024. Tutorials will also be given from 11th to 13th of December 2024.
The conference will be hybrid:
This joint conference has a high reputation for quality presentations. The last edition gathered about 1920 participants. It is organized by the CFEnetwork, CMStatistics, and King's College London. The journal Econometrics and Statistics (EcoSta) and the Annals of Computational and Financial Econometrics are the main sponsors of the conference. For further information please contact info@CMStatistics.org or visit the CFEnetwork website and the CMStatistics website.
This joint conference invites oral and poster presentations containing computational or financial econometric components. Those papers that contain substantive computational, statistical, and 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.