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dc.contributor.authorBerger, Daniel Robert Howard James
dc.date.accessioned2015-09-28T14:08:20Z
dc.date.available2015-09-28T14:08:20Z
dc.date.issued2015
dc.identifier.citationBerger, D.R.H.J. 2015. Improving Legal Reasoning using Bayesian Probability Methods. Queen Mary University of London.en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/8914
dc.descriptionPhDen_US
dc.description.abstractA thesis which explores the possibility of introducing Bayesian probability methods into the criminal justice system, and in doing so, exposing and eradicating some common fallacies. This exposure aims to reduce miscarriages of justice by illustrating that some evidence routinely relied upon by the prosecution, may not have as high a probative value towards its ultimate hypothesis of ‘guilt’ as has been traditionally thought and accepted.en_US
dc.description.sponsorshipEPSRCen_US
dc.language.isoenen_US
dc.publisherQueen Mary University of Londonen_US
dc.subjectStatisticsen_US
dc.subjectCriminal justiceen_US
dc.subjectLawen_US
dc.titleImproving Legal Reasoning using Bayesian Probability Methodsen_US
dc.typeThesisen_US
dc.rights.holderThe copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author


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    Theses Awarded by Queen Mary University of London

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