Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models

Keunbaik Lee; Jae Keun Yoo

doi:10.1016/j.csda.2014.06.016

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JOURNAL ARTICLE

Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models

Keunbaik Lee Jae Keun Yoo

Year: 2014 Journal: Computational Statistics & Data Analysis Vol: 80 Pages: 111-116 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2014.06.016

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Keywords:

Cholesky decomposition Mathematics Covariance matrix Applied mathematics Generalized linear mixed model Covariance Estimation of covariance matrices Random effects model Bayesian probability Statistics Eigenvalues and eigenvectors Physics Medicine

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Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models

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