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CFE-CMStatistics 2024 hybrid conference

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:

  • 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 September. 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 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 or visit the CFEnetwork website and the CMStatistics website.

Aims and Scope

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.