Bayes Factors and Approximations for Variance Component Models

DOI10.2307/2669938zbMath0998.62017OpenAlexW4230032543MaRDI QIDQ4541266

Jon Wakefield, Donna K. Pauler, Robert E. Kass

Publication date: 30 July 2002

Full work available at URL: https://doi.org/10.2307/2669938

zbMATH Keywords

importance samplingboundary problemSchwarz criterionreference priorLaplace's methodrejection method

Mathematics Subject Classification ID

Bayesian inference (62F15) Analysis of variance and covariance (ANOVA) (62J10)

Related Items

Asymptotic normality with small relative errors of posterior probabilities of half-spaces, Extension of the Schwarz information criterion for models sharing parameter boundaries, Choice of generalized linear mixed models using predictive crossvalidation, Optimal volume-corrected Laplace-Metropolis method, Predictive Cross-validation for the Choice of Linear Mixed-Effects Models with Application to Data from the Swiss HIV Cohort Study, Bayesian variable selection for mixed effects model with shrinkage prior, On the consistency of the objective Bayes factor for the integral priors in the one-way random effects model, Gamma Generalized Linear Models for Pharmacokinetic Data, Computation of reference Bayesian inference for variance components in longitudinal studies, Bayes factor covariance testing in item response models, Extended Bayesian model averaging for heritability in twin studies, Bayes factor testing of multiple intraclass correlations, Bayesian nonparametric centered random effects models with variable selection, Approximating posterior probabilities in a linear model with possibly noninvertible moving average errors, Model uncertainty, Comparison of testing procedures utilizingP-values and Bayes factors in some common situations, Fixed and Random Effects Selection in Linear and Logistic Models, Bayesian Semiparametric Frailty Selection in Multivariate Event Time Data, Objective priors for hypothesis testing in one‐way random effects models, A Hybrid Approximation Bayesian Test of Variance Components for Longitudinal Data, Likelihood ratio tests for variance components in linear mixed models, Testing Random Effects in the Linear Mixed Model Using Approximate Bayes Factors, On Bayesian estimation and model comparison of an integrated structural equation model, Bayesian Covariance Selection in Generalized Linear Mixed Models, Model selection in linear mixed models

Uses Software

• tsbridge