Distributional Forecasting
Distributional Forecasting is a probabilistic forecasting approach that specifies the entire probability distribution of future outcomes as its prediction, distinguishing itself from point or interval forecasting by providing a complete characterization of forecast uncertainty.
22
Publications
1.1K
Citations
48
Authors
37
Institutions
Publications per year
2017–2026
13
Parents
22
How predictable is technological progress?
J. Doyne Farmer, François Lafond · Research Policy · 2016 · 240 citations · Full text
Distributional neural networks for electricity price forecasting
Grzegorz Marcjasz, Michał Narajewski, Rafał Weron et al. · Energy Economics · 2023 · 83 citations
An evaluation of tests of distributional forecasts
Pablo Noceti, Jeremy Smith, Stewart D. Hodges · Journal of Forecasting · 2003 · 74 citations
Business, Mathematics, Forecasting +16
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University of Oxford
Oxford, United Kingdom
3 h-index
5 publications
552 citations
Federal Reserve Board of Governors
Washington D.C., United States
2 h-index
2 publications
31 citations

University of Duisburg-Essen
Essen, Germany
2 h-index
3 publications
178 citations

Wrocław University of Science and Technology
Wroclaw, Poland
2 h-index
5 publications
274 citations
AGH University of Krakow
Krakow, Poland
2 h-index
5 publications
274 citations
Iowa State University
Ames, United States
1 h-index
3 publications
39 citations
Georgetown University
Washington, United States
1 h-index
1 publications
21 citations
Centro de Ciências do Mar do Algarve
Faro, Portugal
1 h-index
3 publications
69 citations
1–8 of 37
2 publications · 54 citations
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Repository · 2 publications · 45 citations
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2 publications · 138 citations
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2 publications · 44 citations
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1 publications · 54 citations
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