Some Important Background Material
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-02272-3_2
Reference24 articles.
1. Berk, R. A. (2017) An impact assessment of machine learning risk forecasts on parole board decisions and recidivism. Journal of Experimental Criminology 13(2): 193–242.
2. Berk, R. A., Kriegler, B., & Baek, J-H. (2006) Forecasting dangerous inmate misconduct: An application of ensemble statistical procedures. Journal of Quantitative Criminology 22(2) 135–145.
3. Berk, R. A., Sorenson, S. B., & He, Y. (2005) Developing a practical forecasting screener for domestic violence incidents. Evaluation Review 29(4): 358–382.
4. Berk, R. A., Sherman, L., Barnes, G., Kurtz, E., & Ahlman, L. (2009) Forecasting murder within a population of probationers and parolees: A high stakes application of statistical learning. Journal of the Royal Statistics Society — Series A 172 (part I): 191–211.
5. Berk, R. A., & Bleich, J. (2013) Statistical procedures for forecasting criminal behavior: a comparative assessment. Journal of Criminology and Public Policy 12(3): 515–544, 2013.
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