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Likelihood Analysis of Multivariate Probit Models Using a Parameter Expanded MCEM Algorithm
Multivariate binary data arise in a variety of settings. In this paper, we propose a practical and efficient computational framework for maximum likelihood estimation of multivariate probit regression models. This approach uses the Monte Carlo EM (MCEM) algorithm, with parameter expansion to complet...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2010
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2966284/ https://ncbi.nlm.nih.gov/pubmed/21042430 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/TECH.2010.09055 |
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