On nonparametric Bayesian inference for the distribution of a random sample

DOI10.2307/3315384zbMath0858.62028OpenAlexW2029717596MaRDI QIDQ4891291

Saurabh Mukhopadhyay, Alan E. Gelfand

Publication date: 23 March 1997

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

Full work available at URL: https://doi.org/10.2307/3315384

zbMATH Keywords

linear functionalsposterior distributiongamma distributionpredictive distributionsampling-based inferenceDirichlet-process mixtures of normals

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Bayesian problems; characterization of Bayes procedures (62C10)

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Cites Work

• Unnamed Item
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• On a class of Bayesian nonparametric estimates: I. Density estimates
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• A Bayesian analysis of some nonparametric problems
• Kernel density estimation and marginalization consistency
• Sampling-Based Approaches to Calculating Marginal Densities
• Computations of Mixtures of Dirichlet Processes
• Bayesian Density Estimation and Inference Using Mixtures