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Bayesian networks for sex-related homicides: structure learning and prediction

Sex-related homicides tend to arouse wide media coverage and thus raise the urgency to find the responsible offender. However, due to the low frequency of such crimes, domain knowledge lacks completeness. We have therefore accumulated a large data-set and apply several structural learning algorithms...

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Bibliographic Details
Main Authors: Stahlschmidt, Stephan (Author) , Tausendteufel, Helmut (Author) , Härdle, Wolfgang (Author)
Format: Article (Journal)
Language:English
Published: 2013
In: Journal of applied statistics
Year: 2013, Volume: 40, Issue: 6, Pages: 1155-1171
ISSN:1360-0532
DOI:10.1080/02664763.2013.780235
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1080/02664763.2013.780235
Verlag, lizenzpflichtig, Volltext: https://www.tandfonline.com/doi/full/10.1080/02664763.2013.780235?scroll=top&needAccess=true
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Author Notes:Stephan Stahlschmidt, Helmut Tausendteufel, Wolfgang K. Härdle

MARC

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