Dealing with Label Switching in Mixture Models

In a Bayesian analysis of finite mixture models, parameter estimation and clustering are sometimes less straightforward than might be expected. In particular, the common practice of estimating parameters by their posterior mean, and summarizing joint posterior distributions by marginal distributions...

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Bibliographische Detailangaben

Veröffentlicht in:	Journal of the Royal Statistical Society. Series B (Statistical Methodology). - Blackwell Publishers. - 62(2000), 4, Seite 795-809
1. Verfasser:	Stephens, Matthew (VerfasserIn)
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2000
Zugriff auf das übergeordnete Werk:	Journal of the Royal Statistical Society. Series B (Statistical Methodology)
Schlagworte:	Bayesian Approach Classification Clustering Identifiability Markov Chain Monte Carlo Methods Mixture Model Multimodal Posterior Mathematics Physical sciences Applied sciences mehr... Information science Behavioral sciences