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Fast Bayesian Inference in Dirichlet Process Mixture Models
There has been increasing interest in applying Bayesian nonparametric methods in large samples and high dimensions. As Markov chain Monte Carlo (MCMC) algorithms are often infeasible, there is a pressing need for much faster algorithms. This article proposes a fast approach for inference in Dirichle...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3812957/ https://ncbi.nlm.nih.gov/pubmed/24187479 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jcgs.2010.07081 |
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