Weighted Linear Pooling

Weighted Linear Pooling is a method of aggregating expert judgments through a linear combination of individual probability distributions, where each expert's contribution is scaled by a predetermined weight reflecting their relative credibility or expertise.

6

Publications

525

Citations

17

Authors

18

Institutions

Publications per year

2017–2026

2

Variants

Weighted Linear Opinion Pool

Authors

17

  1. JG
    John Geweke

    University of Technology Sydney, Australia

    2 publications · 406 citations

    2

    h-index

  2. GA
    Gianni Amisano

    University of Brescia, Italy

    2 publications · 406 citations

    2

    h-index

  3. DS
    David S. Guttery

    University of Leicester, United Kingdom

    1 publications · 57 citations

    1

    h-index

  4. JP
    John P. Frisby

    University of Sheffield, United Kingdom

    1 publications · 29 citations

    1

    h-index

  5. JM
    J. M. Górriz

    Universidad de Granada, Spain

    1 publications · 57 citations

    1

    h-index

1–5 of 17

Venues

  1. SSRN Electronic Journal

    Repository · 1 publications · 41 citations

    1

    h-index

  2. Journal of Econometrics

    1 publications · 365 citations

    1

    h-index

  3. Multimedia Tools and Applications

    1 publications · 19 citations

    1

    h-index

  4. Perception

    1 publications · 29 citations

    1

    h-index

  5. Complex & Intelligent Systems

    1 publications · 57 citations

    1

    h-index

1–5