Improving legal reasoning using Bayesian probability methods

by Berger, Daniel Robert Howard James

Type Thesis
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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.

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Summary

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.

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Edition Statements

  • Publication Date:2015

Thesis Information

  • Degree:Ph.D.
  • University:Queen Mary, University of London

Publication Statements

  • Language:eng
  • Publication Date:2015

Edition Identifiers

  • ethos:667414

Subjects

Criminal justice eng Law PDF Statistics

Writers

Berger, Daniel Robert Howard James

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