Bayesian Analysis

A gamma model for {DNA} mixture analyses

R. G. Cowell, S. L. Lauritzen, and J. Mortera

Full-text: Open access

Abstract

We present a new methodology for analysing forensic identification problems involving DNA mixture traces where several individuals may have contributed to the trace. The model used for identification and separation of DNA mixtures is based on a gamma distribution for peak area values. In this paper we illustrate the gamma model and apply it on several real examples from forensic casework.

Article information

Source
Bayesian Anal., Volume 2, Number 2 (2007), 333-348.

Dates
First available in Project Euclid: 22 June 2012

Permanent link to this document
https://projecteuclid.org/euclid.ba/1340393238

Digital Object Identifier
doi:10.1214/07-BA214

Mathematical Reviews number (MathSciNet)
MR2312285

Zentralblatt MATH identifier
1331.92093

Keywords
DNA mixture Forensic Identification Mixture separation Peak area

Citation

Cowell, R. G.; Lauritzen, S. L.; Mortera, J. A gamma model for {DNA} mixture analyses. Bayesian Anal. 2 (2007), no. 2, 333--348. doi:10.1214/07-BA214. https://projecteuclid.org/euclid.ba/1340393238


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