Estimation of arrest careers using hierarchical stochastic models

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This paper introduces a general procedure using hierarchical stochastic models for characterizing criminal careers within a population of heterogeneous offenders. Individuals engage in criminal careers which are treated as stochastic processes governed by fixed parameters (e.g., a rate parameter), a...

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Bibliographic Details
Main Author: Ahn, Chul W. (Author)
Contributors: Blumstein, Alfred ; Schervish, Mark
Format: Electronic Article
Language:English
Published: 1990
In: Journal of quantitative criminology
Year: 1990, Volume: 6, Issue: 2, Pages: 131-152
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Keywords:
Criminal Careers
empirical Bayes
sampling bias
stochastic models