An improved collapsed Gibbs sampler for Dirichlet process mixing models

DOI10.1016/j.csda.2004.09.013zbMath1431.62245OpenAlexW2069440178MaRDI QIDQ959192

Lynn Kuo, Tae Young Yang

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.09.013

zbMATH Keywords

homogeneitycluster analysisDNA sequencesGibbs samplingcontingency tablemixtures of Dirichlet processes

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20) Contingency tables (62H17)

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Cites Work

• On a class of Bayesian nonparametric estimates: I. Density estimates
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• Sequential importance sampling for nonparametric Bayes models: The next generation
• Estimating Normal Means with a Dirichlet Process Prior
• The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
• Dirichlet Process Mixed Generalized Linear Models
• Bayesian semiparametric inference for the accelerated failure‐time model
• Bayesian Multiple Comparisons Using Dirichlet Process Priors
• Nonparametric Bayesian Analysis for Assessing Homogeneity in k × I Contingency Tables with Fixed Right Margin Totals
• Gibbs Sampling Methods for Stick-Breaking Priors
• Estimating normal means with a conjugate style dirichlet process prior
• Bayesian Density Estimation and Inference Using Mixtures
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