0445781 20240103210254.720160105235959.9 84937397283 000373727600003 10.1007/978-3-319-16238-6_3 Distributed estimation of mixture models 10 s. P cav_un_epca*0445780978-3-319-16237-9Bayesian statistics from methods to models and applications27-36ChamSpringer2015Frühwirth-SchnatterS.BittoA.KastnerG.PosekanyA. mixture estimation distributed estimation quasi-Bayesian estimation cav_un_auth*0242543 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Dedecius Kamil UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0306030 Adaptivní systémy Department of Adaptive Systems AS AS Reichl Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/AS/dedecius-0445781.pdf cav_un_auth*0303543 GP14-06678P GA ČR CZ The contribution deals with sequential distributed estimation of global parameters of normal mixture models, namely mixing probabilities and component means and covariances. cav_un_auth*0306777 Bayesian Young Statisticians Meeting (BAYSM 2014) /2./ 18.09.2014-19.09.2014 Vienna AT BB 2016 2 RVO:67985556 http://hdl.handle.net/11104/0247982 S 2015 84937397283 SCOPUS 000373727600003 WOS cav_un_epca*0445780 Bayesian statistics from methods to models and applications 978-3-319-16237-9 27 36 Cham Springer 2015 Springer proceedings in mathematics & statistics Frühwirth-Schnatter S. 340 Bitto A. 340 Kastner G. 340 Posekany A. 340