Eliciting vague but proper maximal entropy priors in Bayesian experiments
type: Item
instance of: scholarly article
title: Eliciting vague but proper maximal entropy priors in Bayesian experiments
zbMATH Open document ID: 1247.65078
author: Nicolas Bousquet
published in: Statistical Papers
publication date: 2012-09-23T00:00:00Z
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 62C10
Mathematics Subject Classification ID: 94A17
Mathematics Subject Classification ID: 62B10
Mathematics Subject Classification ID: 94A24
Mathematics Subject Classification ID: 90C35
zbMATH DE Number: 6085489
zbMATH Keywords: Bayesian inference
zbMATH Keywords: expert opinion
zbMATH Keywords: Kullback-Leibler distance
zbMATH Keywords: Shannon's entropy
zbMATH Keywords: noninformative priors
zbMATH Keywords: channel coding
zbMATH Keywords: sensitivity study
Wikidata QID: Q56157772
MaRDI profile type: Publication
full work available at URL: s00362-008-0149-9
OpenAlex ID: W1994885870
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DOI: 10.1007/S00362-008-0149-9
description: scientific article; zbMATH DE number 6085489