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Bayesian Networks and sex-related homicides

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  • Stahlschmidt, Stephan
  • Tausendteufel, Helmut
  • Härdle, Wolfgang Karl

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.

Suggested Citation

  • Stahlschmidt, Stephan & Tausendteufel, Helmut & Härdle, Wolfgang Karl, 2011. "Bayesian Networks and sex-related homicides," SFB 649 Discussion Papers 2011-045, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2011-045
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    More about this item

    Keywords

    Bayesian Networks; structure learning; offender profiling;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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