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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 f...
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| Pubblicato in: | J Am Stat Assoc |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6035010/ https://ncbi.nlm.nih.gov/pubmed/29983475 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1255636 |
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