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Semiparametric Bayesian latent variable regression for skewed multivariate data

For many real-life studies with skewed multivariate responses, the level of skewness and association structure assumptions are essential for evaluating the covariate effects on the response and its predictive distribution. We present a novel semiparametric multivariate model and associated Bayesian...

詳細記述

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書誌詳細
出版年:Biometrics
主要な著者: Bhingare, Apurva, Sinha, Debajyoti, Pati, Debdeep, Bandyopadhyay, Dipankar, Lipsitz, Stuart R.
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7866838/
https://ncbi.nlm.nih.gov/pubmed/30365158
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12989
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