Combining Point Forecasts

Combining Point Forecasts is a statistical methodology that integrates multiple individual point forecasts into a single composite forecast through systematic weighting or pooling techniques to improve predictive accuracy and robustness.

54

Publications

2.9K

Citations

116

Authors

86

Institutions

Publications per year

2017–2026

23

Variants

Point Forecast Combination

Authors

116

  1. RW
    Rafał Weron

    Wrocław University of Science and Technology, Poland

    4 publications · 211 citations

    4

    h-index

  2. JJ
    Juan‐Ángel Jiménez‐Martín

    Universidad Complutense de Madrid, Spain

    3 publications · 61 citations

    3

    h-index

  3. MM
    Michael McAleer

    Erasmus University Rotterdam, Netherlands

    3 publications · 61 citations

    3

    h-index

  4. KF
    Kenneth F. Wallis

    University of Warwick, United Kingdom

    3 publications · 558 citations

    3

    h-index

  5. JN
    Jakub Nowotarski

    Wrocław University of Science and Technology, Poland

    2 publications · 164 citations

    2

    h-index

1–5 of 116

Venues

  1. SSRN Electronic Journal

    Repository · 6 publications · 97 citations

    6

    h-index

  2. Journal of Forecasting

    4 publications · 108 citations

    4

    h-index

  3. Energies

    3 publications · 119 citations

    3

    h-index

  4. Journal of Applied Econometrics

    3 publications · 256 citations

    3

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 3 publications · 93 citations

    3

    h-index

1–5