The Problem of Civil and Criminal Identification -- Bayesian Networks Approach

TL;DR

This paper demonstrates how Bayesian networks can be used to evaluate DNA evidence in civil and criminal identification cases, illustrating their application through specific examples.

Contribution

It introduces a Bayesian network approach to assess DNA evidence in civil and criminal identification, providing practical illustrations.

Findings

Bayesian networks effectively evaluate DNA evidence.

Application examples demonstrate the approach's utility.

Supports decision-making in forensic identification.

Abstract

DNA evidence use in problems of civil and criminal identification is becoming greater. The necessity of evaluating the weight of that evidence may be accomplished using one of the most known powerful tools: the Bayesian networks. In the current paper this will be illustrated through the presentation of a civil identification problem and of a criminal identification problem.