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Bayesian Analysis of Multivariate Nominal Measures Using Multivariate Multinomial Probit Models

The multinomial probit model has emerged as a useful framework for modeling nominal categorical data, but extending such models to multivariate measures presents computational challenges. Following a Bayesian paradigm, we use a Markov chain Monte Carlo (MCMC) method to analyze multivariate nominal m...

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書誌詳細
主要な著者: Zhang, Xiao, Boscardin, W. John, Belin, Thomas R.
フォーマット: Artigo
言語:Inglês
出版事項: 2008
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2673013/
https://ncbi.nlm.nih.gov/pubmed/19396365
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2007.12.012
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