Abstract:
This survey covers state-of-the-art Bayesian techniques for the estimation of mixtures. It complements the earlier work [31] by studying new types of distributions, the multinomial, latent class and t distributions. It also exhibits closed form solutions for Bayesian inference in some discrete setups. Lastly, it sheds a new light on the computation of Bayes factors via the approximation of [8].