Decomposition and Bayesian analysis of invariant normal linear models

DOI10.1016/0024-3795(85)90040-0zbMath0591.62002OpenAlexW2058350814WikidataQ59632049 ScholiaQ59632049MaRDI QIDQ1074970

A. Philip Dawid, Guido Consonni

Publication date: 1985

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0024-3795(85)90040-0

zbMATH Keywords

decompositionirreducibilityexperimental designprior distributionsunbiased estimatorposterior expectationinvariant normal linear modelsknown sampling covariance structurelinear group representationssymmetry models

Mathematics Subject Classification ID

Bayesian inference (62F15) Foundations and philosophical topics in statistics (62A01) Linear algebraic groups over the reals, the complexes, the quaternions (20G20)

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Bayesian inference for Poisson and multinomial log-linear models ⋮ General balance and treatment permutations

Cites Work

• Invariant normal models
• Invariant distributions and analysis of variance models
• Group representations and applied probability
• Testing and Estimation for a Circular Stationary Model
• The analysis of randomized experiments with orthogonal block structure. I. Block structure and the null analysis of variance
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