• Login
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Improving Legal Reasoning using Bayesian Probability Methods 
    •   QMRO Home
    • Queen Mary University of London Theses
    • Theses
    • Improving Legal Reasoning using Bayesian Probability Methods
    •   QMRO Home
    • Queen Mary University of London Theses
    • Theses
    • Improving Legal Reasoning using Bayesian Probability Methods
    ‌
    ‌

    Browse

    All of QMROCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    ‌
    ‌

    Administrators only

    Login
    ‌
    ‌

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Improving Legal Reasoning using Bayesian Probability Methods

    View/Open
    Berger_Daniel_PhD_190515.pdf (1.656Mb)
    Publisher
    Queen Mary University of London
    Metadata
    Show full item record
    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.
    Authors
    Berger, Daniel Robert Howard James
    URI
    http://qmro.qmul.ac.uk/xmlui/handle/123456789/8914
    Collections
    • Theses [3600]
    Copyright statements
    The 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
    Twitter iconFollow QMUL on Twitter
    Twitter iconFollow QM Research
    Online on twitter
    Facebook iconLike us on Facebook
    • Site Map
    • Privacy and cookies
    • Disclaimer
    • Accessibility
    • Contacts
    • Intranet
    • Current students

    Modern Slavery Statement

    Queen Mary University of London
    Mile End Road
    London E1 4NS
    Tel: +44 (0)20 7882 5555

    © Queen Mary University of London.