A Simple Solution to Bayesian Mixture Labeling

DOI10.1080/03610918.2012.655825zbMath1347.62049OpenAlexW1977360470MaRDI QIDQ4921599

Weixin Yao

Publication date: 13 May 2013

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://escholarship.org/uc/item/74d6m5k5

zbMATH Keywords

EM algorithmMarkov chain Monte Carlomixture modelsBayesian approachlabel switching

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Bayesian inference (62F15)

Cites Work

• Unnamed Item
• Model based labeling for mixture models
• Dealing with label switching in mixture models under genuine multimodality
• Interpretation and inference in mixture models: simple MCMC works
• A constrained formulation of maximum-likelihood estimation for normal mixture distributions
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
• Bayesian Mixture Labeling and Clustering
• Parametric estimation for normal mixtures
• Dealing With Label Switching in Mixture Models
• Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
• Bayesian Mixture Labeling by Highest Posterior Density

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