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Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices

Modeling correlation (and covariance) matrices can be challenging due to the positive-definiteness constraint and potential high-dimensionality. Our approach is to decompose the covariance matrix into the correlation and variance matrices and propose a novel Bayesian framework based on modeling the...

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Detalhes bibliográficos
Publicado no:Bayesian Anal
Main Authors: Lan, Shiwei, Holbrook, Andrew, Elias, Gabriel A., Fortin, Norbert J., Ombao, Hernando, Shahbaba, Babak
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8048134/
https://ncbi.nlm.nih.gov/pubmed/33868547
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/19-ba1173
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