Combining a continuous Bayesian approach with grouping information.

Abstract:

:When someone breaks glass a number of tiny fragments may be transferred to that person. If the glass is broken in the commission of a crime then these fragments may be used as evidence. A Bayesian interpretation of this evidence relies on, among other things, the forensic scientist's ability to assess the likelihood that the glass recovered from the suspect may have come from more than one source. This paper will examine the effect of including this information in the interpretation. We envisage working towards a system whereby the information loss that occurs during the normal casework activities of sample selection and glass fragment grouping is quantified.

journal_name

Forensic Sci Int

authors

Curran JM,Triggs CM,Buckleton J,Coulson S

doi

10.1016/s0379-0738(97)00194-1

subject

Has Abstract

pub_date

1998-02-16 00:00:00

pages

181-96

issue

3

eissn

0379-0738

issn

1872-6283

pii

S0379-0738(97)00194-1

journal_volume

91

pub_type

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