Mixture Models With a Prior on the Number of Components
نویسندگان
چکیده
منابع مشابه
Mixture models with a prior on the number of components
A natural Bayesian approach for mixture models with an unknown number of components is to take the usual finite mixture model with symmetric Dirichlet weights, and put a prior on the number of components—that is, to use a mixture of finite mixtures (MFM). The most commonly-used method of inference for MFMs is reversible jump Markov chain Monte Carlo, but it can be nontrivial to design good reve...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2017
ISSN: 0162-1459,1537-274X
DOI: 10.1080/01621459.2016.1255636