Computational Solutions for Bayesian Inference in Mixture Models

12/18/2018

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by   Gilles Celeux, et al.

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This chapter surveys the most standard Monte Carlo methods available for simulating from a posterior distribution associated with a mixture and conducts some experiments about the robustness of the Gibbs sampler in high dimensional Gaussian settings. This is a chapter prepared for the forthcoming 'Handbook of Mixture Analysis'.