0359260 20240111140755.620110808235959.9 000294221300001 80051666790 10.1002/acs.1239 23 s. www cav_un_epca*02567720890-6327259 (2011)765-787Wiley mixture model Bayesian estimation clustering cav_un_auth*0101167 Nagy Ivan Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0108105 Suzdaleva Evgenia Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101124 Kárný Miroslav Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0272252 Mlynářová T. CZ pdf http://library.utia.cas.cz/separaty/2011/AS/nagy-bayesian estimation of dynamic finite mixtures.pdf 1M0572 GA MŠk cav_un_auth*0001814 ENS/2010/UTIA treaty between ÚTIA and Škoda CZ GA102/08/0567 GA ČR cav_un_auth*0239566 TA01030123 GA TA ČR cav_un_auth*0271776 CEZ:AV0Z10750506 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. 2012 BC 4 http://hdl.handle.net/11104/0197074 AUTOMATIONCONTROLSYSTEMS|ENGINEERINGELECTRICALELECTRONIC 1.132 0.182 6.9 0.00203 0.443 670 66 0.834 Q1 37.836 45.646 Q3 Q2 2011 80051666790 SCOPUS 000294221300001 WOS pdf cav_un_epca*0256772 International Journal of Adaptive Control and Signal Processing 0890-6327 1099-1115 Roč. 25 č. 9 2011 765 787 Wiley