Selecting the precision parameter prior in Dirichlet process mixture models

DOI10.1016/j.jspi.2012.02.013zbMath1237.62011OpenAlexW1991151150MaRDI QIDQ419318

Siva Murugiah, Trevor J. Sweeting

Publication date: 18 May 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2012.02.013

zbMATH Keywords

empirical BayesBayesian nonparametricsmixture models

Mathematics Subject Classification ID

Related Items (4)

Adjusting background noise in cluster analyses of longitudinal data ⋮ A Bayesian sensitivity analysis of the effect of different random effects distributions on growth curve models ⋮ Goodness-of-fit tests based on the distance between the Dirichlet process and its base measure ⋮ Generalized mixtures of finite mixtures and telescoping sampling

Cites Work

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• Nonparametric hierarchical Bayes via sequential imputations
• Estimation in Dirichlet random effects models
• On selecting a prior for the precision parameter of Dirichlet process mixture models
• Modeling individual differences using Dirichlet processes
• A Bayesian analysis of some nonparametric problems
• Hierarchical Dirichlet Processes
• Bayesian Density Estimation and Inference Using Mixtures
• Order-Based Dependent Dirichlet Processes

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