Probabilistic Score Evaluation

Probabilistic Score Evaluation is a formal metric used to assess the accuracy and reliability of probabilistic forecasts by quantifying the divergence between predicted probability distributions and observed outcomes.

59

Publications

5.2K

Citations

136

Authors

88

Institutions

Publications per year

2017–2026

12

Authors

136

  1. RL
    Robert L. Winkler

    Duke University, United States

    4 publications · 307 citations

    4

    h-index

  2. SJ
    Stephen Jewson

    Risk Management Solutions (United Kingdom), United Kingdom

    2 publications · 23 citations

    2

    h-index

  3. ES
    Edward S. Epstein

    University of Michigan, United States

    2 publications · 575 citations

    2

    h-index

  4. AH
    Allan H. Murphy

    Oregon State University, United States

    2 publications · 1.1K citations

    2

    h-index

  5. SS
    Saurabh Sinha

    University of Illinois Urbana-Champaign, United States

    2 publications · 302 citations

    2

    h-index

1–5 of 136

Venues

  1. Monthly Weather Review

    6 publications · 301 citations

    6

    h-index

  2. Journal of applied meteorology

    4 publications · 1.7K citations

    4

    h-index

  3. Journal of Quantitative Analysis in Sports

    3 publications · 81 citations

    3

    h-index

  4. Weather and Forecasting

    3 publications · 273 citations

    3

    h-index

  5. PLoS Computational Biology

    3 publications · 264 citations

    3

    h-index

1–5