Estimation of Parameters in DNA Mixture Analysis

Details Estimation of Parameters in DNA Mixture Analysis Estimation of Parameters in DNA Mixture Analysis

2011-08-09

arxiv.org/abs/1108.1884v1

Statistics

Methodology

Scientific paper

In Cowell et al. (2007), a Bayesian Network for analysis of mixed traces of DNA was presented using gamma distributions for modelling peak sizes in the electropherogram. It was demonstrated that the analysis was sensitive to the choice of a variance factor and hence this should be adapted to any new trace analysed. In the present paper we discuss how the variance parameter can be estimated by maximum likelihood. The unknown proportions of DNA from each contributor can similarly be estimated by maximum likelihood jointly with the variance parameter. Furthermore we discuss how to incorporate prior knowledge about the parameters via a Bayesian analysis. The proposed estimation methods are illustrated through a few examples of applications of the model relevant for use in crime cases.

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