Deviance information criteria for mixtures of distributions

DOI10.1080/03610918.2019.1617878zbMath1497.62032OpenAlexW2949020321WikidataQ127707778 ScholiaQ127707778MaRDI QIDQ5082754

Chanmin Kim

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1617878

zbMATH Keywords

Bayesian model selectionDICeffective number of parametersleave-one-out predictive density

Mathematics Subject Classification ID

Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Statistical aspects of information-theoretic topics (62B10) Statistical astronomy (85A35)

Uses Software

• BayesDA
• qtlbim

Cites Work

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• Deviance information criterion (DIC) in Bayesian multiple QTL mapping
• Estimating the dimension of a model
• Density Estimation With Confidence Sets Exemplified by Superclusters and Voids in the Galaxies
• A Predictive Approach to Model Selection
• Bayesian Measures of Model Complexity and Fit
• Gibbs Sampling Methods for Stick-Breaking Priors
• Comment
• Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models
• Bayesian Models for Categorical Data
• Deviance information criteria for missing data models

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