Forecast Error Distribution Modeling is a statistical methodology that characterizes the probabilistic structure of discrepancies between predicted and actual outcomes in forecasting systems, distinguishing itself by explicitly modeling the shape, variance, and dependencies of forecast errors to improve uncertainty quantification and predictive reliability.
79
Publications
6.5K
Citations
175
Authors
113
Institutions
Publications per year
2017–2026
6
Parents
Publications
79
1–5 of 79
Authors
175
- BH
5
h-index
- MM
4
h-index
- RL
3
h-index
- HL
3
h-index
- PA
3
h-index
1–5 of 175
Institutions
113
National Laboratory of the Rockies
Golden, United States
5 h-index
13 publications
1.1K citations
Lancaster University
Lancaster, United Kingdom
3 h-index
3 publications
236 citations
University of Florida
Gainesville, United States
3 h-index
4 publications
272 citations
Institució Catalana de Recerca i Estudis Avançats
Barcelona, Spain
2 h-index
2 publications
307 citations
Technical University of Denmark
Kongens Lyngby, Denmark
2 h-index
4 publications
450 citations
University of Warwick
Coventry, United Kingdom
2 h-index
4 publications
282 citations
Duke University
Durham, United States
2 h-index
2 publications
368 citations
VTT Technical Research Centre of Finland
Espoo, Finland
2 h-index
4 publications
70 citations
1–8 of 113
Venues
- RePEc: Research Papers in Economics
Repository · 5 publications · 234 citations
5
h-index
- Journal of Forecasting
4 publications · 147 citations
4
h-index
- SSRN Electronic Journal
Repository · 4 publications · 125 citations
4
h-index
- Journal of the American Statistical Association
4 publications · 241 citations
4
h-index
- Monthly Weather Review
3 publications · 106 citations
3
h-index
1–5