Regression-based Forecast Combination

Regression-Based Forecast Combination is a forecast combination method that uses linear regression to estimate the optimal weights for aggregating individual forecasts, distinguishing itself by relying on historical forecast errors to determine the weighting structure.

38

Publications

3.5K

Citations

83

Authors

56

Institutions

Publications per year

2017–2026

11

Authors

83

  1. EP
    Ekaterini Panopoulou

    University of Piraeus, Greece

    4 publications · 103 citations

    4

    h-index

  2. LM
    Loukia Meligkotsidou

    National and Kapodistrian University of Athens, Greece

    4 publications · 103 citations

    4

    h-index

  3. ID
    Ioannis D. Vrontos

    Athens University of Economics and Business, Greece

    4 publications · 103 citations

    4

    h-index

  4. SD
    Spyridon D. Vrontos

    Athens University of Economics and Business, Greece

    4 publications · 103 citations

    4

    h-index

  5. JS
    Jack Strauss

    Saint Louis University, United States

    3 publications · 2.1K citations

    3

    h-index

1–5 of 83

Venues

  1. Journal of Forecasting

    5 publications · 213 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 471 citations

    4

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 4 publications · 365 citations

    4

    h-index

  4. International Journal of Forecasting

    2 publications · 47 citations

    2

    h-index

  5. 1

    h-index

1–5