Generalized Laplacian approximations in Bayesian inference

DOI10.2307/3315383zbMath0878.62021OpenAlexW2064607884MaRDI QIDQ4891290

John S. J. Hsu

Publication date: 3 September 1996

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

Full work available at URL: https://doi.org/10.2307/3315383

zbMATH Keywords

contingency tablemarginalizationFisher-Behrens problemquasiindependence model

Mathematics Subject Classification ID

Bayesian inference (62F15) Approximations to statistical distributions (nonasymptotic) (62E17) Contingency tables (62H17) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (4)

The Effective Sample Size ⋮ Bayesian Subset Modeling for High-Dimensional Generalized Linear Models ⋮ Asymptotics and the theory of inference ⋮ Bayesian Estimation of Inverse Dose Response

Cites Work

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• Statistical inference for multiple choice tests
• Accurate Approximations for Posterior Moments and Marginal Densities
• Laplace expansion for posterior densities of nonlinear functions of parameters
• Interactions in Multidimensional Contingency Tables
• The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or Without Missing Entries
• Measures of Association for Cross Classifications

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