Statistical Risk Modeling

Statistical Risk Modeling is a computational framework that belongs to the class of quantitative risk assessment methods, distinguished by its use of statistical techniques to estimate the probability and impact of criminal events based on empirical data and predictive variables.

141

Publications

10.5K

Citations

389

Authors

201

Institutions

Publications per year

2017–2026

38

Authors

389

  1. AR
    Andrew R. Barron

    Rice University, United States

    5 publications · 691 citations

    5

    h-index

  2. JC
    John C. Duchi

    Stanford University, United States

    4 publications · 338 citations

    4

    h-index

  3. YY
    Yuhong Yang

    University of Minnesota, United States

    4 publications · 761 citations

    4

    h-index

  4. RA
    Richard A. Berk

    University of Pennsylvania, United States

    3 publications · 149 citations

    3

    h-index

  5. MI
    Michael I. Jordan

    University of California, Berkeley, United States

    3 publications · 289 citations

    3

    h-index

1–5 of 389

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 195 citations

    6

    h-index

  2. Journal of the American Statistical Association

    4 publications · 2.4K citations

    4

    h-index

  3. Insurance Mathematics and Economics

    4 publications · 200 citations

    4

    h-index

  4. Criminal Justice and Behavior

    3 publications · 76 citations

    3

    h-index

  5. Journal of Criminal Justice

    3 publications · 188 citations

    3

    h-index

1–5