We present a new methodology for analysing forensic identication problems involving DNA mixture traces where several individuals may have con- tributed to the trace. The model used for identication 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.
COWELL R., G., LAURITZEN S., L., Mortera, J. (2007). A conditional-gamma model for DNA mixture analyses. BAYESIAN ANALYSIS, 2, 333-348 [10.1214/07-BA214].
A conditional-gamma model for DNA mixture analyses
MORTERA, Julia
2007-01-01
Abstract
We present a new methodology for analysing forensic identication problems involving DNA mixture traces where several individuals may have con- tributed to the trace. The model used for identication 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.File in questo prodotto:
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