A new model selection criterion for finite mixture models

Reference : A new model selection criterion for finite mixture models


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Mathematics
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/41442

Title :	A new model selection criterion for finite mixture models
Language :	English
Author, co-author :	Schiltz, Jang [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Luxembourg School of Finance (LSF) >]
Publication date :	20-Aug-2019
Main document title :	Proceedings of the 62nd ISI World Statistics Congress
Pages :	6
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	62nd ISI World Statistics Congress
Event date :	18.-23.8.2019
Event organizer :	ISI
Event place (city) :	Kuala Lumpur
Event country :	Malaysia
Permalink :	http://hdl.handle.net/10993/41442

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	2019_1 Selection Criterion.pdf		Author postprint	318.93 kB	Request a copy

Additional material(s):

	File	Commentary	Size	Access
Open access	2019_4 Kuala Lumpur.pdf	Presentation slides	1.83 MB	View/Open

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