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Elicitation of Priors in Bayesian Modeling of DNA Evidence

Presented by: 
William Thompson University of California, Irvine
Date: 
Tuesday 8th November 2016 -
10:15 to 11:00
Venue: 
INI Seminar Room 1
Abstract: 

Bayesian networks have been helpful for analyzing the probative value of complex forms of forensic DNA evidence, but some of these network models require experts to estimate the prior probability of specific events. This talk discusses procedures that might be used for elicitation of priors with an eye toward minimizing bias and error. As an illustration it uses a model proposed by Biedermann, Taroni & Thompson (2011) to deal with situations in which the "inclusion" of the suspect as a possible contributor to a mixed DNA sample depends on the value of an unknown variable. (Biedermann, A., Taroni, F. & Thompson, W.C. Using graphical probability analysis (Bayes nets) to evaluate a conditional DNA inclusion. Law, Probability and Risk, 10: 89-121, 2011). 

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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons