Object-oriented Bayesian networks (OOBNs) can be used to model and solve a wide variety of complex forensic DNA identication problems, involving such complications as missing individuals, mutation, and null alleles. We provide a brief overview of the approach and illustrate its use. In particular, we investigate the eect on paternity ratios of allowing for silent alleles, and show that this can be substantial even when the probability of silence is very small.
DAWID A., P., Mortera, J., Vicard, P. (2006). Representing and solving complex forensic DNA identification cases using Bayesian networks. In International Congress Series (pp.484-491). Amsterdam : Elsevier [10.1016/j.ics.2005.09.115].
Representing and solving complex forensic DNA identification cases using Bayesian networks
MORTERA, Julia;VICARD, Paola
2006-01-01
Abstract
Object-oriented Bayesian networks (OOBNs) can be used to model and solve a wide variety of complex forensic DNA identication problems, involving such complications as missing individuals, mutation, and null alleles. We provide a brief overview of the approach and illustrate its use. In particular, we investigate the eect on paternity ratios of allowing for silent alleles, and show that this can be substantial even when the probability of silence is very small.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.