Objective Bayesian model selection approach to the two way analysis of variance

DOI10.1007/S00180-017-0727-1zbMath1417.62042OpenAlexW2606690429MaRDI QIDQ1695517

C. Carazo, Juan Antonio Cano, Diego Salmerón

Publication date: 7 February 2018

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-017-0727-1

zbMATH Keywords

Bayes factorsintrinsic priorslinear contrasts

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

Two-way ANOVA by using Cholesky decomposition and graphical representation

Cites Work

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• Linear contrasts for the one way analysis of variance: a Bayesian approach
• Bayesian model selection approach to the one way analysis of variance under homoscedasticity
• On intrinsic priors for nonnested models
• The Intrinsic Bayes Factor for Model Selection and Prediction

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