Forecast Error Aggregation
Forecast Error Aggregation is a measurement framework that synthesizes individual forecast errors across multiple time periods, series, or models to quantify overall predictive accuracy while preserving the structure and distributional characteristics of the underlying errors.
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2017–2026
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Individual Forecasting and Aggregate Outcomes.
Charles Bean, Roman Frydman, Edmund S. Phelps · Economica · 1985 · 79 citations
Forecast aggregation via recalibration
Brandon M. Turner, Mark Steyvers, Edgar C. Merkle et al. · Machine Learning · 2013 · 79 citations · Full text
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Politecnico di Torino
Turin, Italy
2 h-index
2 publications
150 citations

University of Bergamo
Bergamo, Italy
2 h-index
2 publications
150 citations
Politecnico di Milano
Milan, Italy
1 h-index
1 publications
105 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
1 h-index
2 publications
24 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
79 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
49 citations
Stanford University
Stanford, United States
1 h-index
1 publications
79 citations
Malaviya National Institute of Technology Jaipur
Jaipur, India
1 h-index
1 publications
41 citations
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2 publications · 199 citations
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2 publications · 89 citations
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2 publications · 150 citations
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Repository · 2 publications · 39 citations
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1 publications · 41 citations
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