@techreport{Stahlschmidt2011Bayesian,
abstract = {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.},
address = {Berlin},
author = {Stephan Stahlschmidt and Helmut Tausendteufel and Wolfgang K. H\"{a}rdle},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {C49; C81; K42; 330; Bayesian Networks; structure learning; offender profiling; Gewalt; Sexuelle Bel\"{a}stigung; Bayes-Statistik},
language = {eng},
number = {2011-045},
publisher = {SFB 649, Economic Risk},
title = {Bayesian Networks and sex-related homicides},
type = {SFB 649 discussion paper},
url = {http://hdl.handle.net/10419/56628},
year = {2011}
}
