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https://hdl.handle.net/10419/56628
Kompletter Metadatensatz
DublinCore-Feld | Wert | Sprache |
---|---|---|
dc.contributor.author | Stahlschmidt, Stephan | en |
dc.contributor.author | Tausendteufel, Helmut | en |
dc.contributor.author | Härdle, Wolfgang Karl | en |
dc.date.accessioned | 2011-08-29 | - |
dc.date.accessioned | 2012-04-05T16:12:16Z | - |
dc.date.available | 2012-04-05T16:12:16Z | - |
dc.date.issued | 2011 | - |
dc.identifier.uri | http://hdl.handle.net/10419/56628 | - |
dc.description.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. | en |
dc.language.iso | eng | en |
dc.publisher | |aHumboldt University of Berlin, Collaborative Research Center 649 - Economic Risk |cBerlin | en |
dc.relation.ispartofseries | |aSFB 649 Discussion Paper |x2011-045 | en |
dc.subject.jel | C49 | en |
dc.subject.jel | C81 | en |
dc.subject.jel | K42 | en |
dc.subject.ddc | 330 | en |
dc.subject.keyword | Bayesian Networks | en |
dc.subject.keyword | structure learning | en |
dc.subject.keyword | offender profiling | en |
dc.subject.stw | Gewalt | en |
dc.subject.stw | Sexuelle Belästigung | en |
dc.subject.stw | Bayes-Statistik | en |
dc.title | Bayesian Networks and sex-related homicides | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 667236740 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
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