A Note on the Specific Source Identification Problem in Forensic Science in the Presence of Uncertainty about the Background Population
Danica M. Ommen, Christopher P. Saunders, Cedric Neumann

TL;DR
This paper enhances forensic source identification by incorporating uncertainty in the background population into Bayes Factor calculations, improving inference accuracy in forensic science.
Contribution
It introduces a method to include uncertainty about the alternative source population in Bayes Factor calculations, advancing forensic evidence interpretation.
Findings
Incorporating population uncertainty affects Bayes Factor values.
Application to glass fragment data demonstrates practical impact.
Method improves robustness of forensic source attribution.
Abstract
A goal in the forensic interpretation of scientific evidence is to make an inference about the source of a trace of unknown origin. The evidence is composed of the following three elements: (a) the trace of unknown origin, (b) a sample from a specific source, and (c) a collection of samples from the alternative source population. The inference process usually considers two propositions. The first proposition is usually referred to as the prosecution hypothesis and states that a given specific source is the actual source of the trace of unknown origin. The second, usually referred to as the defense hypothesis, states that the actual source of the trace of unknown origin is another source from a relevant alternative source population. One approach is to calculate a Bayes Factor for deciding between the two competing hypotheses. This approach commonly assumes that the alternative source…
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Taxonomy
TopicsForensic and Genetic Research · Advanced Statistical Methods and Models · Pesticide Residue Analysis and Safety
