Dealing with label switching in mixture models (2000)

by Matthew Stephens
Venue:Journal of the Royal Statistical Society, Series B
Citations:109 - 0 self

Active Bibliography

3 Dealing With Multimodal Posteriors and Non-Identifiability in Mixture Models – Matthew Stephens, Running Head, Non-identifiability Of Mixtures - 1999
51 Markov Chain Monte Carlo methods and the label switching problem in Bayesian mixture modelling – A. Jasra, C. C. Holmes, D. A. Stephens
62 Bayesian Analysis of Mixture Models with an Unknown Number of Components -- an alternative to reversible jump methods – Matthew Stephens - 1998
MCMC performance for problematic Gaussian mixture likelihoods – José G. Dias, Michel Wedel - 2002
1 MCMC and the label switching problem in Bayesian mixture models – A. Jasra, C. C. Holmes, D. A. Stephens - 2005
10 Bayesian finite mixtures with an unknown number of components: the allocation sampler – Agostino Nobile, Alastair Fearnside - 2005
THÈSE – Doctorat De L’université Henri Poincaré
445 On Bayesian analysis of mixtures with an unknown number of components – Sylvia Richardson, Peter J. Green - 1997
14 Computing Normalizing Constants for Finite Mixture Models via Incremental Mixture Importance Sampling (IMIS) – Russell J. Steele, Adrian E. Raftery, Mary J. Emond - 2003
86 Bayesian Methods for Hidden Markov Models -- Recursive Computing in the 21st Century – Steven L. Scott - 2002
Sampler for Mixture of Distributions: Application to the Determination of Specifications in Food Industry – Julien Cornebise, Myriam Maumy
An Application of MCMC Methods and of Mixtures of Laws for the Determination of the Purity of a Product. – Julien Cornebise, Myriam Maumy
2 Model-based Clustering of non-Gaussian Panel Data – Miguel A. Juárez, Mark F. J. Steel
3 Bayesian finite mixtures: a note on prior specification and posterior computation – Agostino Nobile - 2005
40 Dirichlet Prior Sieves in Finite Normal Mixtures – Hemant Ishwaran, Mahmoud Zarepour - 2002
1 Performance of Bayesian Model Selection Criteria for Gaussian Mixture Models – Russell J. Steele, Adrian E. Raftery - 2009
Model-Based Clustering, Discriminant Analysis, and Density Estimation – Chris Fraley And, Chris Fraley, Adrian E. Raftery - 2000
260 Model-Based Clustering, Discriminant Analysis, and Density Estimation – Chris Fraley, Adrian E. Raftery - 2000
c○Associação Brasileira de Estatística USE OF MIXTURE OF DISTRIBUTIONS FOR THE ERROR IN REGRESSION MODELS FOR LIFETIME DATA – Josmar Mazucheli, Jorge A. Achcar, Robert Kass, Roberto Carta