An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures

DOI10.1080/03610918.2012.667476zbMath1295.62038arXiv1106.4432OpenAlexW2952492922MaRDI QIDQ4929224

Ryan Martin

Publication date: 13 June 2013

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1106.4432

zbMATH Keywords

stochastic approximationsimulated annealingDirichlet distributionpredictive recursionmixture complexity

Mathematics Subject Classification ID

Density estimation (62G07) Bayesian inference (62F15)

Related Items (3)

A semiparametric scale-mixture regression model and predictive recursion maximum likelihood ⋮ Asymptotically Optimal Nonparametric Empirical Bayes Via Predictive Recursion ⋮ Estimating a mixing distribution on the sphere using predictive recursion

Cites Work

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