Nonlinear Forecast Combination

Nonlinear Forecast Combination is a forecast combination method that belongs to the class of ensemble forecasting techniques and is distinguished by its use of nonlinear functions to integrate individual forecasts, allowing for flexible, state-dependent weighting schemes that capture complex interactions among base predictors.

42

Publications

2.7K

Citations

96

Authors

56

Institutions

Publications per year

2017–2026

20

Authors

96

  1. YH
    Yi‐Chung Hu

    Chung Yuan Christian University, Taiwan

    3 publications · 46 citations

    4

    h-index

  2. LD
    Li Da Xu

    Old Dominion University, United States

    2 publications · 87 citations

    2

    h-index

  3. JR
    Jan R. Magnus

    Tilburg University, Netherlands

    2 publications · 284 citations

    2

    h-index

  4. WW
    Wendun Wang

    Erasmus University Rotterdam, Netherlands

    2 publications · 284 citations

    2

    h-index

  5. GE
    Graham Elliott

    University of California San Diego, United States

    2 publications · 223 citations

    2

    h-index

1–5 of 96

Venues

  1. International Journal of Forecasting

    7 publications · 1K citations

    8

    h-index

  2. Expert Systems with Applications

    3 publications · 105 citations

    4

    h-index

  3. Applied Soft Computing

    2 publications · 232 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 84 citations

    2

    h-index

  5. Grey Systems Theory and Application

    GS · 1 publications · 14 citations

    1

    h-index

1–5