New Approaches to Model Selection in Bayesian Mixed Modeling

Autor: Christensen, Fletcher George William

Publikováno v: Christensen, Fletcher George William. (2017). New Approaches to Model Selection in Bayesian Mixed Modeling. UC Irvine: Statistics. Retrieved from: http://www.escholarship.org/uc/item/40f5322c

Because the marginal densities corresponding to data modeled with generalized linear mixed models (GLMMs) usually lack closed-form expressions, model selection via existing tools like the deviance information criterion (DIC) can yield inconsistent re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::ca74615676c45cdd49577daa8be19ed8
http://www.escholarship.org/uc/item/40f5322c