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dc.contributor.authorRobert, Christian P.
dc.date.accessioned2010-07-22T15:08:09Z
dc.date.available2010-07-22T15:08:09Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/4649
dc.language.isoenen
dc.subjectApproximate Bayesian Computationen
dc.subjectcomputational statisticsen
dc.subjectBayesian statisticsen
dc.subjectBayesian model choiceen
dc.subject.ddc519en
dc.subject.classificationjelC11en
dc.titleAbout incoherent inferenceen
dc.typeDocument de travail / Working paper
dc.description.abstractenIn Templeton (2010), the Approximate Bayesian Computation (ABC) algorithm (see, e.g., Pritchard et al., 1999, Beaumont et al., 2002, Marjoram et al., 2003, Ratmann et al., 2009) is criticised on mathematical and logical grounds: "the [Bayesian] inference is mathematically incorrect and formally illogical". Since those criticisms turn out to be bearing on Bayesian foundations rather than on the computational methodology they are primarily directed at, we endeavour to point out in this note the statistical errors and inconsistencies in Templeton (2010), refering to Beaumont et al. (2010) for a reply that is broader in scope since it also covers the phylogenetic aspects of nested clade versus a model-based approach.en
dc.publisher.nameUniversité Paris-Dauphineen
dc.publisher.cityParisen
dc.identifier.citationpages3en
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00494358/fr/en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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