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dc.contributor.authorBerger, Dan
dc.date.accessioned2017-07-18T15:31:42Z
dc.date.available2017-07-18T15:31:42Z
dc.date.issued2016-03-09
dc.identifier.citationBerger , D 2016 , ' Bayes and the Law ' , Annual Review of Statistics and its Application , vol. 3 , pp. 51-77 . https://doi.org/10.1146/annurev-statistics-041715-033428
dc.identifier.issn2326-831X
dc.identifier.otherPURE: 9968378
dc.identifier.otherPURE UUID: b8b10558-9f32-417f-b9fc-3bf061982c62
dc.identifier.otherScopus: 84973320435
dc.identifier.urihttp://hdl.handle.net/2299/18976
dc.descriptionDaniel Berger, "Bayes and the Law", Annual Review of Statistics and its Application, Vol. 3, March 2016.
dc.description.abstractAlthough the last forty years has seen considerable growth in the use of statistics in legal proceedings, it is primarily classical statistical methods rather than Bayesian methods that have been used. Yet the Bayesian approach avoids many of the problems of classical statistics and is also well suited to a broader range of problems. This paper reviews the potential and actual use of Bayes in the law and explains the main reasons for its lack of impact on legal practice. These include misconceptions by the legal community about Bayes’ theorem, over-reliance on the use of the likelihood ratio and the lack of adoption of modern computational methods. We argue that Bayesian Networks (BNs), which automatically produce the necessary Bayesian calculations, provide an opportunity to address most concerns about using Bayes in the law.en
dc.format.extent27
dc.language.isoeng
dc.relation.ispartofAnnual Review of Statistics and its Application
dc.titleBayes and the Lawen
dc.contributor.institutionLaw
dc.contributor.institutionHertfordshire Law School
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.1146/annurev-statistics-041715-033428
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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