Approximate uniform shrinkage prior for a multivariate generalized linear mixed model

DOI10.1016/j.jmva.2015.12.004zbMath1360.62405OpenAlexW2197338765MaRDI QIDQ5964280

Hsiang-Chun Chen, Thomas E. Wehrly

Publication date: 29 February 2016

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2015.12.004

zbMATH Keywords

Bayesian inferencemultivariate generalized linear modelnoninformative prior distributionuniform shrinkage prior

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (1)

Frequency coverage properties of a uniform shrinkage prior distribution

Uses Software

• BUGS

Cites Work

• Unnamed Item
• Unnamed Item
• Shrinkage estimation in general linear models
• Markov chains for exploring posterior distributions. (With discussion)
• General design Bayesian generalized linear mixed models
• Default Bayesian analysis for multivariate generalized CAR models
• Bayesian Multivariate Logistic Regression
• Joint modelling of mixed outcome types using latent variables
• Penalized Likelihood for General Semi-Parametric Regression Models
• On Bayesian Analysis of Generalized Linear Models Using Jeffreys's Prior
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Gibbs Sampling for Bayesian Non-Conjugate and Hierarchical Models by Using Auxiliary Variables
• A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
• Reference Bayesian Methods for Generalized Linear Mixed Models
• Random Effects Modeling of Multiple Binomial Responses Using the Multivariate Binomial Logit‐Normal Distribution
• Approximate Inference in Generalized Linear Mixed Models
• A note on the existence of the posterior distribution for a class of mixed models for binomial responses
• Bayesian analysis of random-effect models in the analysis of variance. I. Posterior distribution of variance-components
• Proper Bayes Minimax Estimators of the Multivariate Normal Mean
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
• A default conjugate prior for variance components in generalized linear mixed models (Comment on article by Browne and Draper)

This page was built for publication: Approximate uniform shrinkage prior for a multivariate generalized linear mixed model