Probabilistic Forecasting

Probabilistic Forecasting is a forecasting methodology that belongs to the class of predictive inference techniques and is distinguished by its explicit quantification of uncertainty through the assignment of probability distributions over possible future outcomes rather than yielding single deterministic predictions.

3.3K

Publications

239K

Citations

6.9K

Authors

2.1K

Institutions

Publications per year

2017–2026

1.2K

Authors

6.9K

  1. AH
    Allan H. Murphy

    Oregon State University, United States

    41 publications · 5K citations

    29

    h-index

  2. RL
    Robert L. Winkler

    Duke University, United States

    32 publications · 4.3K citations

    26

    h-index

  3. PP
    Pierre Pinson

    Technical University of Denmark, Denmark

    33 publications · 6.2K citations

    26

    h-index

  4. TG
    Tilmann Gneiting

    University of Washington, United States

    29 publications · 16K citations

    24

    h-index

  5. RK
    Roman Krzysztofowicz

    University of Virginia, United States

    24 publications · 2.1K citations

    22

    h-index

1–5 of 6.9K

Venues

  1. International Journal of Forecasting

    193 publications · 13K citations

    63

    h-index

  2. Monthly Weather Review

    92 publications · 16.3K citations

    48

    h-index

  3. IEEE Transactions on Power Systems

    56 publications · 8.8K citations

    42

    h-index

  4. Applied Energy

    53 publications · 6.2K citations

    41

    h-index

  5. Journal of Forecasting

    69 publications · 5.1K citations

    37

    h-index

1–5