Conservative prior distributions for variance parameters in hierarchical models

DOI10.1002/cjs.5550340302zbMath1104.62024OpenAlexW1968142332MaRDI QIDQ3417680

Shahadut Hossain, Ying C. MacNab, Paul Gustafson

Publication date: 30 January 2007

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.5550340302

zbMATH Keywords

variance componentsprior distributionlinear mixed modelmortality data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (10)

Posterior propriety of an objective prior for generalized hierarchical normal linear models ⋮ An objective prior for hyperparameters in normal hierarchical models ⋮ Sensitivity and identification quantification by a relative latent model complexity perturbation in Bayesian meta‐analysis ⋮ On the consistency of the objective Bayes factor for the integral priors in the one-way random effects model ⋮ A spatial random-effects model for interzone flows: commuting in Northern Ireland ⋮ Default Bayesian model determination methods for generalised linear mixed models ⋮ A Bayesian hierarchical copula model ⋮ Bayes Factor Consistency for One-way Random Effects Model ⋮ Consistency of Bayes factor for nonnested model selection when the model dimension grows ⋮ Modeling dependence structures for response times in a Bayesian framework

Uses Software

• spBayes

Cites Work

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