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dc.contributor.authorAlbert, Isabelle
dc.contributor.authorDonnet, Sophie
dc.contributor.authorGuihenneuc-Jouyaux, Chantal
dc.contributor.authorLow-Choy, Samantha
dc.contributor.authorMengersen, Kerrie
dc.contributor.authorRousseau, Judith
dc.date.accessioned2018-05-01T03:17:52Z
dc.date.available2018-05-01T03:17:52Z
dc.date.issued2012
dc.identifier.issn1931-6690
dc.identifier.doi10.1214/12-BA717
dc.identifier.urihttp://hdl.handle.net/10072/173218
dc.description.abstractWe consider the problem of combining opinions from different experts in an explicitly model-based way to construct a valid subjective prior in a Bayesian statistical approach. We propose a generic approach by considering a hierarchical model accounting for various sources of variation as well as accounting for potential dependence between experts. We apply this approach to two problems. The first problem deals with a food risk assessment problem involving modelling dose-response for Listeria monocytogenes contamination of mice. Two hierarchical levels of variation are considered (between and within experts) with a complex mathematical situation due to the use of an indirect probit regression. The second concerns the time taken by PhD students to submit their thesis in a particular school. It illustrates a complex situation where three hierarchical levels of variation are modelled but with a simpler underlying probability distribution (log-Normal).
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInternational Society for Bayesian Analysis
dc.relation.ispartofpagefrom503
dc.relation.ispartofpageto532
dc.relation.ispartofissue3
dc.relation.ispartofjournalBayesian Analysis
dc.relation.ispartofvolume7
dc.subject.fieldofresearchApplied Statistics
dc.subject.fieldofresearchStatistics
dc.subject.fieldofresearchcode010401
dc.subject.fieldofresearchcode0104
dc.titleCombining expert opinions in prior elicitation
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionPublished
gro.rights.copyright© 2012 International Society for Bayesian Analysis. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorLow-Choy, Sama J.


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