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Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
Modèles de mélanges finis pour une distribution de loi BETA sous-jacente avec une application à des données sur la COVID-19
NOEL, Cédric
;
SCHILTZ, Jang
2022
•
27èmes Rencontres de la Société Francophone de Classification
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https://hdl.handle.net/10993/52280
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Disciplines :
Quantitative methods in economics & management
Author, co-author :
NOEL, Cédric
;
University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM)
SCHILTZ, Jang
;
University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF)
External co-authors :
yes
Language :
French
Title :
Modèles de mélanges finis pour une distribution de loi BETA sous-jacente avec une application à des données sur la COVID-19
Alternative titles :
[en]
Finite mixture models with an underlying Beta distribution and an application to COVID-19 data
Publication date :
14 September 2022
Event name :
27èmes Rencontres de la Société Francophone de Classification
Event organizer :
SFC
Event place :
Lyon, France
Event date :
14.-16.9.2022
Audience :
International
Focus Area :
Systems Biomedicine
Available on ORBilu :
since 29 September 2022
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