Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions

10.1214/19-EJS1620

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Bibliographic Details
Main Authors:	Yu, T., Li, P., Qin, J.
Other Authors:	STATISTICS & APPLIED PROBABILITY
Format:	Article
Published:	Institute of Mathematical Statistics 2021
Subjects:	EM-like algorithm Empirical process M-esti-mators Majorization-minimization algorithm Mixture data Smoothed likelihood function
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/206392
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-206392
record_format	dspace
spelling	sg-nus-scholar.10635-2063922024-04-03T05:48:11Z Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions Yu, T. Li, P. Qin, J. STATISTICS & APPLIED PROBABILITY EM-like algorithm Empirical process M-esti-mators Majorization-minimization algorithm Mixture data Smoothed likelihood function 10.1214/19-EJS1620 Electronic Journal of Statistics 13 2 4035-4078 2021-11-16T07:24:43Z 2021-11-16T07:24:43Z 2019 Article Yu, T., Li, P., Qin, J. (2019). Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions. Electronic Journal of Statistics 13 (2) : 4035-4078. ScholarBank@NUS Repository. https://doi.org/10.1214/19-EJS1620 1935-7524 https://scholarbank.nus.edu.sg/handle/10635/206392 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ Institute of Mathematical Statistics Scopus OA2019
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	EM-like algorithm Empirical process M-esti-mators Majorization-minimization algorithm Mixture data Smoothed likelihood function
spellingShingle	EM-like algorithm Empirical process M-esti-mators Majorization-minimization algorithm Mixture data Smoothed likelihood function Yu, T. Li, P. Qin, J. Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions
description	10.1214/19-EJS1620
author2	STATISTICS & APPLIED PROBABILITY
author_facet	STATISTICS & APPLIED PROBABILITY Yu, T. Li, P. Qin, J.
format	Article
author	Yu, T. Li, P. Qin, J.
author_sort	Yu, T.
title	Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions
title_short	Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions
title_full	Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions
title_fullStr	Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions
title_full_unstemmed	Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions
title_sort	maximum smoothed likelihood component density estimation in mixture models with known mixing proportions
publisher	Institute of Mathematical Statistics
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/206392
_version_	1795374789458657280

Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions

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