Bayesian testing for nested hypotheses under partial observability

DOI10.1007/S13171-013-0048-6zbMath1310.62022OpenAlexW2013362237MaRDI QIDQ2257032

Michel Mouchart, Carlos A. S. Almeida

Publication date: 23 February 2015

Published in: Sankhyā. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13171-013-0048-6

zbMATH Keywords

partial observabilityBayesian encompassingDirichlet priorsnested hypothesesnonparametric specification test

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Bayesian inference (62F15) Sufficient statistics and fields (62B05)

Cites Work

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• Some asymptotic theory for the bootstrap
• Bayesian nonparametrics
• Partial sufficiency with connection to the identification problem
• Sufficient parameters: Solution of the minimal dimensionality problem
• A Bayesian analysis of some nonparametric problems
• The Encompassing Principle and its Application to Testing Non-Nested Hypotheses
• Sufficiency and Approximate Sufficiency
• Robust Statistics
• Bayesian encompassing specification test under not completely known partial observability

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