-
1
-
-
30344448597
-
The recent past and near future of risk and/or need assessment
-
January: -.
-
Andrews, Don A., James A. Bonta, and J. S. Wormith. 2006. The recent past and near future of risk and/or need assessment. Crime & Delinquency, January: 7-24.
-
(2006)
Crime & Delinquency
, pp. 7-24
-
-
Andrews, D.A.1
Bonta, J.A.2
Wormith, J.S.3
-
3
-
-
78149491153
-
The role of race in forecasts of violent crime
-
Berk, Richard A. 2009. The role of race in forecasts of violent crime. Race and Social Problems, 1: 231-242.
-
(2009)
Race and Social Problems
, vol.1
, pp. 231-242
-
-
Berk, R.A.1
-
4
-
-
79951858012
-
Asymmetric loss functions for forecasting in criminal justice settings
-
Berk, Richard A. 2011. Asymmetric loss functions for forecasting in criminal justice settings. Journal of Quantitative Criminology, 27: 107-123.
-
(2011)
Journal of Quantitative Criminology
, vol.27
, pp. 107-123
-
-
Berk, R.A.1
-
6
-
-
84890708532
-
Algorithmic criminology
-
Berk, Richard A. 2013. Algorithmic criminology. Security Informatics, 2(5): 1-14.
-
(2013)
Security Informatics
, vol.2
, Issue.5
, pp. 1-14
-
-
Berk, R.A.1
-
7
-
-
77953021886
-
When second best is good enough: A comparison between a true experiment and a regression discontinuity quasi-experiment
-
Berk, Richard A., Geoffrey Barnes, Lindsay Ahlman, and Ellen Kurtz. 2010. When second best is good enough: A comparison between a true experiment and a regression discontinuity quasi-experiment. Journal of Experimental Criminology, 6: 191-208.
-
(2010)
Journal of Experimental Criminology
, vol.6
, pp. 191-208
-
-
Berk, R.A.1
Barnes, G.2
Ahlman, L.3
Kurtz, E.4
-
9
-
-
57849132624
-
Forecasting murder within a population of probationers and parolees: A high stakes application of statistical learning
-
Berk, Richard A., Lawrence Sherman, Geoffrey Barnes, Ellen Kurtz, and Lindsay Ahlman. 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.
-
(2009)
Journal of the Royal Statistics Society-Series A
, vol.172
, Issue.PART I
, pp. 191-211
-
-
Berk, R.A.1
Sherman, L.2
Barnes, G.3
Kurtz, E.4
Ahlman, L.5
-
10
-
-
0001497506
-
Why I prefer logits to probits
-
Berkson, Joseph. 1951. Why I prefer logits to probits. Biometrics, 7: 327-339.
-
(1951)
Biometrics
, vol.7
, pp. 327-339
-
-
Berkson, J.1
-
14
-
-
0030211964
-
Bagging predictors
-
Breiman, Leo. 1996. Bagging predictors. Machine Learning, 26: 123-140.
-
(1996)
Machine Learning
, vol.26
, pp. 123-140
-
-
Breiman, L.1
-
15
-
-
0035478854
-
Random forests
-
Breiman, Leo. 2001a. Random forests. Machine Learning, 45: 5-32.
-
(2001)
Machine Learning
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
16
-
-
0000245743
-
Statistical modeling: The two cultures
-
Breiman, Leo. 2001b. Statistical modeling: The two cultures. Statistical Science, 16: 199-231.
-
(2001)
Statistical Science
, vol.16
, pp. 199-231
-
-
Breiman, L.1
-
17
-
-
0003802343
-
-
Monterey, CA: Wadsworth.
-
Breiman, Leo, Jerome H. Friedman, R. A. Olshen, and Charles J. Stone. 1984. Classification and Regression Trees. Monterey, CA: Wadsworth.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
18
-
-
0003259586
-
Factors determining success or failure on parole
-
(Andrew Alexander Bruce, Albert James Harno, Ernest Watson Burgess, and John Landesco, eds.), Springfield, IL: State Board of Parole.
-
Burgess, E. W. 1928. Factors determining success or failure on parole. In (Andrew Alexander Bruce, Albert James Harno, Ernest Watson Burgess, and John Landesco, eds.), The Working of the Indeterminate Sentence Law and the Parole System in Illinois. Springfield, IL: State Board of Parole.
-
(1928)
The Working of the Indeterminate Sentence Law and the Parole System in Illinois
-
-
Burgess, E.W.1
-
19
-
-
84875286695
-
Estimating empirical Blackstone ratios in two settings: Murder cases and hiring
-
Bushway, Shawn D. 2011. Estimating empirical Blackstone ratios in two settings: Murder cases and hiring. Albany Law Review, 74: 1087-1104.
-
(2011)
Albany Law Review
, vol.74
, pp. 1087-1104
-
-
Bushway, S.D.1
-
23
-
-
84991755872
-
Making sense of big data
-
Dumbill, Edd. 2013. Making sense of big data. Big Data, 1: 1-2.
-
(2013)
Big Data
, vol.1
, pp. 1-2
-
-
Dumbill, E.1
-
25
-
-
0002553344
-
Actuarial justice: The emerging new criminal law
-
(Dorothy Nelken, ed.), London, U.K.: Sage.
-
Feeley, Malcolm M. and Jonathan Simon. 1994. Actuarial justice: The emerging new criminal law. In (Dorothy Nelken, ed.), The Futures of Criminology. London, U.K.: Sage.
-
(1994)
The Futures of Criminology
-
-
Feeley, M.M.1
Simon, J.2
-
27
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund, Yoav and Robert E. Schapire. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and system Sciences, 55: 119-139.
-
(1997)
Journal of Computer and system Sciences
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
29
-
-
30344431512
-
Statistical risk assessment: Old problems and new applications
-
Gottfredson, Stephen D. and Laura J. Moriarty. 2006. Statistical risk assessment: Old problems and new applications. Crime & Delinquency, 52: 178-200.
-
(2006)
Crime & Delinquency
, vol.52
, pp. 178-200
-
-
Gottfredson, S.D.1
Moriarty, L.J.2
-
31
-
-
0003684449
-
-
2nd Edition. New York: Springer.
-
Hastie, Trevor, Robert Tibshirani, and Jerome H. Friedman. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition. New York: Springer.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.H.3
-
32
-
-
84890595733
-
Reform in motion: The promise and profiles of incorporating risk assessments and cost-benefit analysis into Pennsylvania sentencing
-
Hyatt, Jordan M., Steven L. Chanenson, and Mark H. Bergstrom. 2011. Reform in motion: The promise and profiles of incorporating risk assessments and cost-benefit analysis into Pennsylvania sentencing. Duquesne Law Review, 49: 707-749.
-
(2011)
Duquesne Law Review
, vol.49
, pp. 707-749
-
-
Hyatt, J.M.1
Chanenson, S.L.2
Bergstrom, M.H.3
-
33
-
-
80255137159
-
A comparison of logistic regression, classification and regression trees, and neutral networks model in predicting violent re-offending
-
Liu, Yuan Y., Min Yang, Malcolm Ramsay, Xiao S. Li, and Jeremy W. Coid. 2011. A comparison of logistic regression, classification and regression trees, and neutral networks model in predicting violent re-offending. Journal of Quantitative Criminology, 27: 547-573.
-
(2011)
Journal of Quantitative Criminology
, vol.27
, pp. 547-573
-
-
Liu, Y.Y.1
Yang, M.2
Ramsay, M.3
Li, X.S.4
Coid, J.W.5
-
34
-
-
33845432936
-
Using risk assessment to inform sentencing decisions for nonviolent offenders in Virginia
-
Kleiman, Matthew, Brian J. Ostrom, and Fred L. Cheeman II. 2007. Using risk assessment to inform sentencing decisions for nonviolent offenders in Virginia. Crime & Delinquency, 53: 1-27.
-
(2007)
Crime & Delinquency
, vol.53
, pp. 1-27
-
-
Kleiman, M.1
Ostrom, B.J.2
Cheeman, F.L.3
-
35
-
-
84984315624
-
Dangerous people: A review of the NAS report on career criminals
-
Messinger, Sheldon L. and Richard A. Berk. 1987. Dangerous people: A review of the NAS report on career criminals. Criminology, 25: 767-781.
-
(1987)
Criminology
, vol.25
, pp. 767-781
-
-
Messinger, S.L.1
Berk, R.A.2
-
36
-
-
84893505632
-
-
National Research Council. Washington, DC: National Academies Press.
-
National Research Council. 2013. Frontiers for Massive Data Analysis. Washington, DC: National Academies Press.
-
(2013)
Frontiers for Massive Data Analysis
-
-
-
37
-
-
0039616753
-
The efficiency of prediction in criminology
-
Ohlin, Lloyd E. and Otis Dudley Duncan. 1949. The efficiency of prediction in criminology. American Journal of Sociology, 54: 441-452.
-
(1949)
American Journal of Sociology
, vol.54
, pp. 441-452
-
-
Ohlin, L.E.1
Duncan, O.D.2
-
38
-
-
27744589770
-
A comparison of alternative methods of parole prediction
-
Ohlin, Lloyd E. and Richard A. Lawrence. 1952. A comparison of alternative methods of parole prediction. American Sociological Review, 17: 268-274.
-
(1952)
American Sociological Review
, vol.17
, pp. 268-274
-
-
Ohlin, L.E.1
Lawrence, R.A.2
-
40
-
-
84874921613
-
-
Pew Center of the States, Public Safety Performance Project. Washington, DC: The Pew Center of the States. Retrieved from pewcenteronthestates.org/publicsafety.
-
Pew Center of the States, Public Safety Performance Project. 2011. Risk/Needs Assessment 101: Science Reveals New Tools to Manage Offenders. Washington, DC: The Pew Center of the States. Retrieved from pewcenteronthestates.org/publicsafety.
-
(2011)
Risk/Needs Assessment 101: Science Reveals New Tools to Manage Offenders
-
-
-
41
-
-
30344444397
-
The accuracy, efficiency, and validity of a prediction instrument
-
Reiss, Albert J., Jr. 1951. The accuracy, efficiency, and validity of a prediction instrument. American Journal of Sociology, 56: 552-561.
-
(1951)
American Journal of Sociology
, vol.56
, pp. 552-561
-
-
Reiss Jr., A.J.1
-
42
-
-
84890597218
-
The pitfalls of prediction
-
Ridgeway, Greg. 2013. The pitfalls of prediction. NIJ Journal, 271: 34-40.
-
(2013)
NIJ Journal
, vol.271
, pp. 34-40
-
-
Ridgeway, G.1
-
44
-
-
84872649463
-
Which method predicts recidivism best? A comparison of statistical, machine learning and data mining predictive methods
-
Tollenaar, N. and P. G. M. van der Heijden. 2013. Which method predicts recidivism best? A comparison of statistical, machine learning and data mining predictive methods. Journal of the Royal Statistical Society, Series A, 176 (part 2): 565-584.
-
(2013)
Journal of the Royal Statistical Society, Series A
, vol.176
, Issue.PART 2
, pp. 565-584
-
-
Tollenaar, N.1
van der Heijden, P.G.M.2
-
45
-
-
84890784632
-
-
Irvine: Center for Evidence Based Corrections, University of California, Irvine.
-
Turner, Susan, James Hess, and Jesse Jannetta. 2009. Development of the California Risk Assessment Instrument. Irvine: Center for Evidence Based Corrections, University of California, Irvine.
-
(2009)
Development of the California Risk Assessment Instrument
-
-
Turner, S.1
Hess, J.2
Jannetta, J.3
-
48
-
-
84890679069
-
-
London, U.K.: Ministry of Justice.
-
Yang, Min, Yuanyuan Liu, and Jeremy Coid. 2010. Applying Neural Networks and Other Statistics Models to Classification of Serious Offenders and the Prediction of Recidivism, Vol. 6/10. London, U.K.: Ministry of Justice.
-
(2010)
Applying Neural Networks and Other Statistics Models to Classification of Serious Offenders and the Prediction of Recidivism
, vol.6-10
-
-
Yang, M.1
Liu, Y.2
Coid, J.3
|