Deterministic Prediction Models

Deterministic Prediction Models is a type of predictive modeling framework that belongs to the class of forecasting systems and is distinguished by its reliance on fixed, non-probabilistic algorithms that produce a single, certain outcome for a given input without accounting for randomness or uncertainty.

82

Publications

2.8K

Citations

289

Authors

106

Institutions

Publications per year

2017–2026

39

Authors

289

  1. JB
    Jonas Brunskog

    Technical University of Denmark, Denmark

    3 publications · 112 citations

    3

    h-index

  2. SB
    Stéphane Bélair

    Environment and Climate Change Canada, Canada

    3 publications · 370 citations

    3

    h-index

  3. KJ
    Kevin Judd

    The University of Western Australia, Australia

    2 publications · 66 citations

    2

    h-index

  4. GL
    Gábor Lugosi

    Universitat Pompeu Fabra, Spain

    2 publications · 68 citations

    2

    h-index

  5. TD
    Tom Dhaene

    Ghent University, Belgium

    2 publications · 28 citations

    2

    h-index

1–5 of 289

Venues

  1. Weather and Forecasting

    3 publications · 287 citations

    3

    h-index

  2. Ocean Engineering

    3 publications · 130 citations

    3

    h-index

  3. Tunnelling and Underground Space Technology

    2 publications · 84 citations

    2

    h-index

  4. 2

    h-index

  5. Applied Sciences

    2 publications · 101 citations

    2

    h-index

1–5