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Graphical Models For Forensic Analysis

Author

Listed:
  • Julia Mortera
  • A. Philip Dawid

Abstract

Here we are concerned with systems to assist in the evaluation of ev- idence presented in a criminal or civil court case. Such a case may have a mixed mass of evidence of many kinds, all of it subject to un- certainty. We describe how such a case can be helpfully represented by means of a Bayesian Network (BN), or Probabilistic Expert System: a directed graphical model describing the various items of evidence and hypotheses, and the probabilistic relationships between them. Such a representation displays clearly the relevance of the evidence to ques- tions of interest, and supports ecient routines to compute the impact of the evidence presented. In many cases the BN can be constructed as an object-oriented Bayesian network (OOBN), a top-down hierarchical structure which hides irrelevant detail and simpli es both construction and interpretation.

Suggested Citation

  • Julia Mortera & A. Philip Dawid, 2017. "Graphical Models For Forensic Analysis," Departmental Working Papers of Economics - University 'Roma Tre' 0224, Department of Economics - University Roma Tre.
    • Handle: RePEc:rtr:wpaper:0224
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    File URL: http://dipeco.uniroma3.it/db/docs/WP%20224.pdf
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