Parametric and semiparametric hypotheses in the linear model

DOI10.1002/cjs.10091zbMath1222.62090OpenAlexW1993228455MaRDI QIDQ3019150

Subharup Guha, Steven N. MacEachern

Publication date: 27 July 2011

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

Full work available at URL: https://doi.org/10.1002/cjs.10091

zbMATH Keywords

Bayes factorDirichlet processKullback-Leibler divergence

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Bayesian inference (62F15)

Related Items (1)

Local-mass preserving prior distributions for nonparametric Bayesian models

Uses Software

• alr3

Cites Work

• Unnamed Item
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Practical nonparametric and semiparametric Bayesian statistics
• Nonparametric Bayesian data analysis
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• Bayesian Nonparametrics
• A semiparametric Bayesian model for randomised block designs
• Approximating distributions of random functionals of Ferguson-Dirichlet priors
• Bayesian Nonparametric Inference for Random Distributions and Related Functions
• Estimating Normal Means with a Dirichlet Process Prior
• Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models

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