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arXiv 0804.2413stat.COstat.ME

Bayesian Inference on Mixtures of Distributions

Kate Lee, Jean-Michel Marin, Kerrie Mengersen, Christian P. Robert

英文摘要:

This survey covers state-of-the-art Bayesian techniques for the estimation of mixtures. It complements the earlier Marin, Mengersen and Robert (2005) 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 Chib (1995).

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