Stochastic Forecast Models

Stochastic Forecast Models is a type of forecasting model that incorporates random variation and probabilistic elements in its structure, distinguishing it from deterministic models by explicitly representing uncertainty through probability distributions over possible future outcomes.

127

Publications

5.7K

Citations

374

Authors

198

Institutions

Publications per year

2017–2026

38

Variants

Stochastic Forecasting Models

Authors

374

  1. DÖ
    Dilek Önkal

    Bilkent University, Türkiye

    3 publications · 149 citations

    3

    h-index

  2. YG
    Yaz Gűlnur Muradoğlu

    Queen Mary University of London, United Kingdom

    3 publications · 149 citations

    3

    h-index

  3. AS
    Anthony S. Tay

    Singapore Management University, Singapore

    2 publications · 340 citations

    2

    h-index

  4. DL
    Dinglin Li

    China Southern Power Grid (China), China

    2 publications · 50 citations

    2

    h-index

  5. DE
    David Epstein

    JPMorgan Chase & Co (United States), United States

    2 publications · 368 citations

    2

    h-index

1–5 of 374

Venues

  1. International Journal of Forecasting

    9 publications · 599 citations

    9

    h-index

  2. Journal of Forecasting

    4 publications · 436 citations

    4

    h-index

  3. Monthly Weather Review

    3 publications · 56 citations

    3

    h-index

  4. Expert Systems with Applications

    3 publications · 207 citations

    3

    h-index

  5. Journal of the Atmospheric Sciences

    3 publications · 86 citations

    3

    h-index

1–5