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Predicting criminal recidivism using neural networks

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  • Palocsay, Susan W.
  • Wang, Ping
  • Brookshire, Robert G.

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  • 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.
    • Handle: RePEc:eee:soceps:v:34:y:2000:i:4:p:271-284
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    References listed on IDEAS

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    1. דבי עובדיה, 1989. "חונכות ילדי אסירים," Working Papers 144, National Insurance Institute of Israel.
    2. אסתר טולידנו, 1988. "מקבלי דמי אבטלה בשנת 1987," Working Papers 374, National Insurance Institute of Israel.
    3. אסתר טולידנו, 1989. "מקבלי דמי אבטלה בשנת 1988," Working Papers 538, National Insurance Institute of Israel.
    4. Schmidt, Peter & Witte, Ann Dryden, 1989. "Predicting criminal recidivism using 'split population' survival time models," Journal of Econometrics, Elsevier, vol. 40(1), pages 141-159, January.
    5. דליה גורדון ואסתר טולידנו, 1986. "דמי לידה," Working Papers 384, National Insurance Institute of Israel.
    6. יעקב צדקה, 1991. "משפחתונים לקשישים בטבריה," Working Papers 80, National Insurance Institute of Israel.
    7. Goss, Ernest Preston & Ramchandani, Harish, 1998. "Survival Prediction in the Intensive Care Unit: a Comparison of Neural Networks and Binary Logit Regression," Socio-Economic Planning Sciences, Elsevier, vol. 32(3), pages 189-198, September.
    8. דבי עובדיה, 1991. "קו חירום לנשים מוכות," Working Papers 203, National Insurance Institute of Israel.
    9. Palocsay, Susan W. & Stevens, Scott P. & Brookshire, Robert G. & Sacco, William J. & Copes, Wayne S. & Buckman, Robert F. & Smith, J. Stanley, 1996. "Using neural networks for trauma outcome evaluation," European Journal of Operational Research, Elsevier, vol. 93(2), pages 369-386, September.
    10. Ting†Peng Liang & John S. Chandler & Ingoo Han & Jinsheng Roan, 1992. "An empirical investigation of some data effects on the classification accuracy of probit, ID3, and neural networks," Contemporary Accounting Research, John Wiley & Sons, vol. 9(1), pages 306-328, September.
    11. Kar Yan Tam & Melody Y. Kiang, 1992. "Managerial Applications of Neural Networks: The Case of Bank Failure Predictions," Management Science, INFORMS, vol. 38(7), pages 926-947, July.
    12. Caulkins, Jonathan & Cohen, Jacqueline & Gorr, Wilpen & Wei, Jifa, 1996. "Predicting criminal recidivism: A comparison of neural network models with statistical methods," Journal of Criminal Justice, Elsevier, vol. 24(3), pages 227-240.
    13. רבקה פריאור, 1991. "גמלאות נפגעי עבודה, 1989," Working Papers 496, National Insurance Institute of Israel.
    14. Raymond Ellermann & Pasquale Sullo & James M. Tien, 1992. "An Alternative Approach to Modeling Recidivism Using Quantile Residual Life Functions," Operations Research, INFORMS, vol. 40(3), pages 485-504, June.
    15. אסתר טולידנו, 1991. "מקבלי דמי אבטלה בשנת 1990," Working Papers 514, National Insurance Institute of Israel.
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    Cited by:

    1. Rolando de la Cruz & Oslando Padilla & Mauricio A. Valle & Gonzalo A. Ruz, 2021. "Modeling Recidivism through Bayesian Regression Models and Deep Neural Networks," Mathematics, MDPI, vol. 9(6), pages 1-14, March.

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