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Inference in Forensic Identification

Authors: Balding, D; Donnelly, P;

Inference in Forensic Identification

Abstract

The problem of quantifying the weight of evidence in forensic identification is addressed. The essence of the problem is abstracted in a simple paradigm, the analysis of which yields valuable insights and highlights important distinctions. A special case of this analysis gives a resolution of the so-called island problem. The paradigm is extended to assess the effects of several features which may be important in practical situations, such as possible alibis, heterogeneous populations of potential suspects and informative protocols for finding suspects. The analyses of the paper clarify several issues pertaining to the weight of evidence associated with matching deoxyribonucleic acid (DNA) profiles and raise some new concerns. In addition, established concerns regarding the incorrect interpretation of probabilistic evidence by juries are discussed in the DNA profile context.

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United Kingdom
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    70
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
70
Top 10%
Top 1%
Top 10%
Green
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