Finite Mixture Models for an underlying Beta distribution with an application to COVID-19 data

Reference : Finite Mixture Models for an underlying Beta distribution with an application to COVI...


	Document type :	E-prints/Working papers : First made available on ORBilu
	Discipline(s) :	Business & economic sciences : Finance
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/50948

Title :	Finite Mixture Models for an underlying Beta distribution with an application to COVID-19 data
Language :	English
Author, co-author :	Schiltz, Jang [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF) >]
	Noel, Cédric [University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM) > > ; University of Lorraine]
Publication date :	18-Apr-2022
Edition :	1
Number of pages :	31
Peer reviewed :	No
Permalink :	http://hdl.handle.net/10993/50948

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Limited access	COVID.pdf		Author postprint	4.83 MB	Request a copy

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