EconStor >
Humboldt-Universität zu Berlin >
Sonderforschungsbereich 649: Ökonomisches Risiko, Humboldt-Universität Berlin >
SFB 649 Discussion Papers, HU Berlin >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/56628
  
Title:Bayesian Networks and sex-related homicides PDF Logo
Authors:Stahlschmidt, Stephan
Tausendteufel, Helmut
Härdle, Wolfgang K.
Issue Date:2011
Series/Report no.:SFB 649 discussion paper 2011-045
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.
Subjects:Bayesian Networks
structure learning
offender profiling
JEL:C49
C81
K42
Document Type:Working Paper
Appears in Collections:SFB 649 Discussion Papers, HU Berlin

Files in This Item:
File Description SizeFormat
667236740.pdf597.94 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:http://hdl.handle.net/10419/56628

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.