Bayesian analysis for mixtures of discrete distributions with a non-parametric component

DOI10.1080/02664763.2015.1100594OpenAlexW2230446611MaRDI QIDQ5138085

Hongsheng Dai, Berthold Lausen, Andrew Harrison, Yoshiko Hayashi, Baba B. Alhaji, Veronica Vinciotti

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://repository.essex.ac.uk/15038/1/Reviewed_paper.pdf

zbMATH Keywords

Gibbs samplermixture modelBayesianlabel switching

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• BayesPeak
• HPeak

Cites Work

• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
• Estimating the mixing proportion in a semiparametric mixture model
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
• A Bayesian analysis of some nonparametric problems
• A Statistical Framework for the Analysis of ChIP-Seq Data
• Analyzing Microarray Gene Expression Data
• Hierarchical Mixture Models in Neurological Transmission Analysis
• Dealing With Label Switching in Mixture Models
• Computational and Inferential Difficulties with Mixture Posterior Distributions
• Bayesian Density Estimation and Inference Using Mixtures
• Minimum profile Hellinger distance estimation for a semiparametric mixture model
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