Object-oriented Bayesian networks for paternity cases with allelic dependencies |
| |
Authors: | Amanda B Hepler Bruce S Weir |
| |
Institution: | aDepartment of Statistical Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom;bDepartment of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195, United Kingdom |
| |
Abstract: | This study extends the current use of Bayesian networks by incorporating the effects of allelic dependencies in paternity calculations. The use of object-oriented networks greatly simplify the process of building and interpreting forensic identification models, allowing researchers to solve new, more complex problems. We explore two paternity examples: the most common scenario where DNA evidence is available from the alleged father, the mother and the child; a more complex case where DNA is not available from the alleged father, but is available from the alleged father’s brother. Object-oriented networks are built, using HUGIN, for each example which incorporate the effects of allelic dependence caused by evolutionary relatedness. |
| |
Keywords: | DNA evidence Probabilistic expert systems Evidence interpretation Paternity index Avuncular index |
本文献已被 ScienceDirect 等数据库收录! |
|