Quantile Forecast Evaluation
Quantile Forecast Evaluation is a formal metric within forecast error analysis that assesses the accuracy of quantile forecasts by comparing predicted quantiles to empirical outcomes using specialized loss functions, such as the asymmetric linear loss in the quantile scoring rule, thereby distinguishing it from point or probabilistic forecast evaluation methods.
55
Publications
2.8K
Citations
160
Authors
115
Institutions
Publications per year
2017–2026
30
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1–5 of 55
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Centre Procédés, Energies Renouvelables et Systèmes Energétiques, France
2 publications · 376 citations
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2
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1–5 of 160
115
Karlsruhe Institute of Technology
Karlsruhe, Germany
3 h-index
15 publications
462 citations
Duke University
Durham, United States
3 h-index
3 publications
286 citations
Heidelberg Institute for Theoretical Studies
Heidelberg, Germany
2 h-index
13 publications
370 citations
University of Virginia
Charlottesville, United States
2 h-index
4 publications
412 citations

University of Pretoria
Pretoria, South Africa
2 h-index
2 publications
27 citations

University of Warwick
Coventry, United Kingdom
2 h-index
2 publications
164 citations

Helmut Schmidt University
Hamburg, Germany
2 h-index
4 publications
114 citations
London Business School
London, United Kingdom
2 h-index
2 publications
80 citations
1–8 of 115
5 publications · 197 citations
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3 publications · 78 citations
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3 publications · 185 citations
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Repository · 2 publications · 79 citations
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2 publications · 77 citations
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