Predicting criminal recidivism: A comparison of neural network models with statistical methods
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Cited by:
- Julia R. Falconer & Eibe Frank & Devon L. L. Polaschek & Chaitanya Joshi, 2024. "Eliciting Informative Priors by Modeling Expert Decision Making," Decision Analysis, INFORMS, vol. 21(2), pages 77-90, June.
- Caulkins, Jonathan P., 2001. "A Study of Recidivism of Serious and Persistent Offenders Among Adolescents: Brent B. Benda and Connie L. Tollett, 1999; Journal of Criminal Justice, Vol. 27, No. 2, pp. 111-126," International Journal of Forecasting, Elsevier, vol. 17(1), pages 135-139.
- Palocsay, Susan W. & Wang, Ping & Brookshire, Robert G., 2000. "Predicting criminal recidivism using neural networks," Socio-Economic Planning Sciences, Elsevier, vol. 34(4), pages 271-284, December.
- Brendan Cushing-Daniels, 2005. "Even the errors discrimenate: How the split-population model of criminal recidivism makes justice even less colorblind," The Review of Black Political Economy, Springer;National Economic Association, vol. 33(1), pages 25-39, September.
- B Rubenstein-Montano & I Zandi, 1999. "Application of a Genetic Algorithm to Policy Planning: The Case of Solid Waste," Environment and Planning B, , vol. 26(6), pages 893-907, December.
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