Model determination for the variance component model using reference priors

DOI10.1016/S0378-3758(01)00090-8zbMath1023.62028MaRDI QIDQ5956234

Dey, Dipak K., Younshik Chung

Publication date: 13 November 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

Jeffreys' priorGibbs samplerMetropolis-Hastings algorithmMCMC methodLaplace approximationintraclass correlation coefficientconditional predictive ordinateintrinsic Bayes factorminimal training samplereference priorvariance components model

Mathematics Subject Classification ID

Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Analysis of variance and covariance (ANOVA) (62J10) Diagnostics, and linear inference and regression (62J20)

Related Items (2)

Fixed and Random Effects Selection in Linear and Logistic Models ⋮ Comparing Equal-Tail Probability and Unbiased Confidence Intervals for the Intraclass Correlation Coefficient

Cites Work

• Bayesian reference prior analysis on the ratio of variances for the balanced one-way random effect model
• The Intrinsic Bayes Factor for Model Selection and Prediction
• Influence of groups of observations on bayes factors
• Sampling-Based Approaches to Calculating Marginal Densities
• Accurate Approximations for Posterior Moments and Marginal Densities
• Bayesian approach to estimation of intraclass correlation using reference prior
• Importance-Weighted Marginal Bayesian Posterior Density Estimation
• Reference Prior Bayesian Analysis for Normal Mean Products
• Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio
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