The local Dirichlet process

DOI10.1007/s10463-008-0218-9zbMath1432.62083OpenAlexW1968738889WikidataQ36806506 ScholiaQ36806506MaRDI QIDQ907085

David B. Dunson, Yeonseung Chung

Publication date: 1 February 2016

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3640338

zbMATH Keywords

mixture modelblocked Gibbs samplerdependent Dirichlet processstick-breaking representationnon-parametric Bayes

Mathematics Subject Classification ID

Density estimation (62G07) Bayesian inference (62F15) Random measures (60G57)

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Cites Work

• Unnamed Item
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• On a class of Bayesian nonparametric estimates: I. Density estimates
• Posterior convergence rates of Dirichlet mixtures at smooth densities
• Posterior consistency of Dirichlet mixtures in density estimation
• Prior distributions on spaces of probability measures
• Exchangeable and partially exchangeable random partitions
• A predictive view of Bayesian clustering
• A Bayesian analysis of some nonparametric problems
• Variable selection in clustering via Dirichlet process mixture models
• Bayesian nonparametric inference on stochastic ordering
• Bayesian dynamic modeling of latent trait distributions
• Kernel stick-breaking processes
• Estimating Normal Means with a Dirichlet Process Prior
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures
• Bayesian Clustering and Product Partition Models
• Gibbs Sampling Methods for Stick-Breaking Priors
• A Method for Combining Inference Across Related Nonparametric Bayesian Models
• Bayesian Density Estimation and Inference Using Mixtures
• Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data
• Bayesian Density Regression
• An ANOVA Model for Dependent Random Measures
• Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
• On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation
• Order-Based Dependent Dirichlet Processes