Bayesian model selection for generalized linear mixed models

S Xu, MAR Ferreira, EM Porter, CT Franck - Biometrics, 2023 - Wiley Online Library
We propose a Bayesian model selection approach for generalized linear mixed models
(GLMMs). We consider covariance structures for the random effects that are widely used in …
被引用次数：3 相关文章

Bayesian model selection for generalized linear mixed models

S Xu, MAR Ferreira, EM Porter, CT Franck - Biometrics, 2023 - ideas.repec.org
We propose a Bayesian model selection approach for generalized linear mixed models
(GLMMs). We consider covariance structures for the random effects that are widely used in …

Bayesian model selection for generalized linear mixed models

S Xu, MAR Ferreira, EM Porter, CT Franck - Biometrics, 2023 - pubmed.ncbi.nlm.nih.gov
We propose a Bayesian model selection approach for generalized linear mixed models
(GLMMs). We consider covariance structures for the random effects that are widely used in …

Bayesian model selection for generalized linear mixed models

S Xu, MAR Ferreira, EM Porter, CT Franck - Biometrics, 2023 - econpapers.repec.org
We propose a Bayesian model selection approach for generalized linear mixed models
(GLMMs). We consider covariance structures for the random effects that are widely used in …

Bayesian Model Selection for Generalized Linear Mixed Models

S Xu, MAR Ferreira, EM Porter, CT Franck - Biometrics, 2023 - academic.oup.com
We propose a Bayesian model selection approach for generalized linear mixed models
(GLMMs). We consider covariance structures for the random effects that are widely used in …

Bayesian Model Selection for Generalized Linear Mixed Models

S Xu, MAR Ferreira, EM Porter, CT Franck - Biometrics, 2023 - par.nsf.gov
We propose a Bayesian model selection approach for generalized linear mixed models
(GLMMs). We consider covariance structures for the random effects that are widely used in …

Bayesian Model Selection for Generalized Linear Mixed Models

S Xu, MAR Ferreira, EM Porter, CT Franck - Biometrics, 2023 - par.nsf.gov
We propose a Bayesian model selection approach for generalized linear mixed models
(GLMMs). We consider covariance structures for the random effects that are widely used in …