A Bayesian approach to inequality constrained linear mixed models: estimation and model selection

DOI10.1191/1471082X06st119oaOpenAlexW2157874780MaRDI QIDQ4970715

Herbert Hoijtink, Bernet Sekasanvu Kato

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/1471082x06st119oa

zbMATH Keywords

sensitivity analysislongitudinal datamodel selectionBayes factorinequality constraintsposterior probabilitylinear mixed modelencompassing prior

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Bayes factors for testing order-constrained hypotheses on correlations

Uses Software

• WinBUGS
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A Bayesian interpretation of the multivariate skew-normal distribution.
• Posterior inference in the random intercept model based on samples obtained with Markov chain Monte Carlo methods
• Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models
• Testing precise hypotheses. With comments and a rejoinder by the authors
• Marginal Likelihood from the Gibbs Output
• Sampling-Based Approaches to Calculating Marginal Densities
• Modelling in Repeated Measures Experiments
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Monte Carlo methods for Bayesian analysis of constrained parameter problems
• Informative Drop-Out in Longitudinal Data Analysis
• Order-Restricted Inferences in Linear Regression
• Bayes Factors
• The Bayesian Analysis of Contingency Tables
• Multiparameter Problems From a Bayesian Point of View
• Linear mixed models for longitudinal data

This page was built for publication: A Bayesian approach to inequality constrained linear mixed models: estimation and model selection