Bayesian Networks and sex-related homicides

Stephan Stahlschmidt; Helmut Tausendteufel; Wolfgang K. Härdle

We present a statistical investigation on the domain of sex-related homicides. As general sociological and psychological theory on this specific type of crime is incomplete or even lacking, a data-driven approach is implemented. In detail, graphical modelling is applied to learn the dependency structure and several structure learning algorithms are combined to yield a skeleton corresponding to distinct Bayesian Networks. This graph is subsequently analysed and presents a distinction between an offender and a situation driven crime. -- Bayesian Networks ; structure learning ; offender profiling

MoreLess

Year of publication:	2011
Authors:	Stahlschmidt, Stephan ; Tausendteufel, Helmut ; Härdle, Wolfgang
Publisher:	Berlin : SFB 649, Economic Risk
Subject:	Gewalt \| Violence \| Sexuelle Belästigung \| Sexual harassment \| Bayes-Statistik \| Bayesian inference