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Bayesian estimation of dynamic finite mixtures

SYSNO ASEP	0359260
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Bayesian estimation of dynamic finite mixtures
Author(s)	Nagy, Ivan (UTIA-B)_{RID, ORCID} Suzdaleva, Evgenia (UTIA-B)_{RID, ORCID} Kárný, Miroslav (UTIA-B)_{RID, ORCID} Mlynářová, T. (CZ)
Number of authors	4
Source Title	International Journal of Adaptive Control and Signal Processing. - : Wiley - ISSN 0890-6327 Roč. 25, č. 9 (2011), s. 765-787
Number of pages	23 s.
Publication form	www - www
Language	eng - English
Country	GB - United Kingdom
Keywords	mixture model ; Bayesian estimation ; clustering
Subject RIV	BC - Control Systems Theory
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA102/08/0567 GA ČR - Czech Science Foundation (CSF)
	TA01030123 GA TA ČR - Technology Agency of the Czech Republic (TA ČR)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
UT WOS	000294221300001
EID SCOPUS	80051666790
DOI	10.1002/acs.1239
Annotation	The paper introduces an algorithm for estimation of dynamic mixture models. A new feature of the proposed algorithm is the ability to consider a dynamic form not only for component models but also for the pointer model, which describes the activities of the mixture components in time.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2012

Number of the records: 1