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

Authors

48

  1. AJ
    Alexander J. McNeil

    ETH Zurich, Switzerland

    2 publications · 31 citations

    2

    h-index

  2. FZ
    Florian Ziel

    University of Duisburg-Essen, Germany

    2 publications · 95 citations

    2

    h-index

  3. RW
    Rafał Weron

    Wrocław University of Science and Technology, Poland

    2 publications · 119 citations

    2

    h-index

  4. FL
    François Lafond

    University of Oxford, United Kingdom

    2 publications · 260 citations

    2

    h-index

  5. FK
    Fabian Krüger

    Karlsruhe Institute of Technology, Germany

    2 publications · 58 citations

    2

    h-index

1–5 of 48

Venues

  1. Journal of Banking & Finance

    2 publications · 54 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 45 citations

    2

    h-index

  3. Energy Economics

    2 publications · 138 citations

    2

    h-index

  4. International Journal of Forecasting

    2 publications · 44 citations

    2

    h-index

  5. 1

    h-index

1–5