Probability Forecast Scoring Rules is a formal metric used to evaluate the accuracy of probabilistic forecasts by assigning a numerical score that quantifies the deviation between predicted probabilities and actual outcomes, with lower scores indicating better forecast performance.
51
Publications
5.3K
Citations
64
Authors
51
Institutions
Publications per year
2017–2026
6
Variants
Probability Scoring Rules
Parents
Publications
51
A New Vector Partition of the Probability Score
Allan H. Murphy · Journal of applied meteorology · 1973 · 1.1K citations · Full text
Business, Mathematics, Forecasting +15
Evaluating the predictive accuracy of volatility models
Jose A. Lopez · Journal of Forecasting · 2001 · 222 citations
1–5 of 51
Authors
64
- AH
7
h-index
- RL
5
h-index
- DJ
3
h-index
- VR
3
h-index
- FK
3
h-index
1–5 of 64
Institutions
51
The University of Sydney
Sydney, Australia
4 h-index
7 publications
159 citations
Duke University
Durham, United States
4 h-index
6 publications
368 citations
NSF National Center for Atmospheric Research
Boulder, United States
3 h-index
3 publications
1.2K citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
52 citations
National Bureau of Economic Research
Cambridge, United States
2 h-index
2 publications
52 citations
Heidelberg University
Heidelberg, Germany
2 h-index
2 publications
731 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
239 citations
Singapore Management University
Singapore, Singapore
2 h-index
6 publications
156 citations
1–8 of 51
Venues
- Journal of applied meteorology
8 publications · 2.1K citations
8
h-index
- Monthly Weather Review
8 publications · 656 citations
8
h-index
- Decision Analysis
4 publications · 248 citations
4
h-index
- Management Science
3 publications · 210 citations
3
h-index
- International Journal of Forecasting
2 publications · 58 citations
2
h-index
1–5