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MM Algorithms for Some Discrete Multivariate Distributions
The MM (minorization–maximization) principle is a versatile tool for constructing optimization algorithms. Every EM algorithm is an MM algorithm but not vice versa. This article derives MM algorithms for maximum likelihood estimation with discrete multivariate distributions such as the Dirichlet-mul...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2945396/ https://ncbi.nlm.nih.gov/pubmed/20877446 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jcgs.2010.09014 |
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