Online learning for the Dirichlet process mixture model via weakly conjugate approximation

DOI10.1016/j.csda.2022.107626MaRDI QIDQ6111498

Kuhwan Jeong, Minwoo Chae, Yongdai Kim

Publication date: 7 July 2023

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

zbMATH Keywords

clusteringMarkov chain Monte Carloapproximate Bayesian inferenceBayesian nonparametric model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Slice sampling mixture models
• On a class of Bayesian nonparametric estimates: I. Density estimates
• Stochastic models, estimation, and control. Vol. 2,3
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• Bayesian Conditional Density Filtering
• Sampling the Dirichlet Mixture Model with Slices
• Bayesian curve fitting using multivariate normal mixtures
• Estimating Normal Means with a Dirichlet Process Prior
• On Recursive Bayesian Predictive Distributions
• Estimating normal means with a conjugate style dirichlet process prior
• Bayesian Density Estimation and Inference Using Mixtures
• Order-Based Dependent Dirichlet Processes
• Variational inference for Dirichlet process mixtures
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