The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021) will be host by King's College London, 18-20 December 2021. Tutorials will also be given on Friday the 17th of December 2021.
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. Speakers in contributed sessions will also be able to choose either the in-person or the virtual option. Session organizers and contributed speakers will be able to change their contribution mode until the 15th of October 2021 (subject to availability for the hybrid model, which depends on the local resources). The keynote talks, the special invited sessions (even if they are in-person), the hybrid organized sessions, and the virtual sessions will be live-streamed for all the conference participants.
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 15th International Conference on Computational and Financial Econometrics (CFE 2021). The conference has a high reputation for quality presentations. The last in-person edition of the joint conference CFE-CMStatistics gathered over 1900 participants, while about 1100 participants attended the virtual CFE-CMStatistics 2020.
This conference invites oral and poster presentations containing computational or financial econometric components. Those papers that contain strong computational, statistical, or econometric elements or substantive data-analytic components will also be considered for publication either in the CSDA Annals of Statistical Data Sciences or regular issues of Econometrics and Statistics.