Computational Solutions for Bayesian Inference in Mixture Models

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.