Objective Bayesian inference for the intraclass correlation coefficient in linear models

DOI10.1016/J.SPL.2018.02.004zbMath1414.62100OpenAlexW2793220610WikidataQ58045576 ScholiaQ58045576MaRDI QIDQ1640969

Min Wang, Duo Zhang

Publication date: 14 June 2018

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.02.004

zbMATH Keywords

hypothesis testingBayes factorobjective priorsdivergence-based priorintraclass model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15)

Related Items (2)

Objective Bayesian testing for the correlation coefficient under divergence-based priors ⋮ \(D\)-optimal designs for hierarchical linear models with intraclass covariance structure

Cites Work

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• Bayesian hypothesis testing in latent variable models
• Probability matching priors: Higher order asymptotics
• Noninformative priors, credible sets and Bayesian hypothesis testing for the intraclass model
• Generalization of Jeffreys Divergence-Based Priors for Bayesian Hypothesis Testing
• Longitudinal and Panel Data
• Bayes Factors
• Objective Bayesian hypothesis testing in regression models with first-order autoregressive residuals
• Objective priors for hypothesis testing in one‐way random effects models

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