Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667414
Title: Improving legal reasoning using Bayesian probability methods
Author: Berger, Daniel Robert Howard James
ISNI:       0000 0004 5360 5265
Awarding Body: Queen Mary, University of London
Current Institution: Queen Mary, University of London
Date of Award: 2015
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Abstract:
A 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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.667414  DOI: Not available
Keywords: Statistics ; Criminal justice ; Law
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