Eliciting vague but proper maximal entropy priors in Bayesian experiments

DOI10.1007/s00362-008-0149-9zbMath1247.65078OpenAlexW1994885870WikidataQ56157772 ScholiaQ56157772MaRDI QIDQ451441

Nicolas Bousquet

Publication date: 23 September 2012

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-008-0149-9

zbMATH Keywords

Bayesian inferenceShannon's entropyKullback-Leibler distancenoninformative priorsexpert opinionchannel codingsensitivity study

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Bayesian problems; characterization of Bayes procedures (62C10) Numerical mathematical programming methods (65K05) Measures of information, entropy (94A17) Statistical aspects of information-theoretic topics (62B10) Coding theorems (Shannon theory) (94A24)

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