Model Averaged Regression

Model Averaged Regression is a Bayesian regression framework that distinguishes itself by integrating parameter estimates across multiple models, weighted by their posterior probabilities, to produce a single predictive distribution that accounts for model uncertainty.

36

Publications

3.4K

Citations

112

Authors

85

Institutions

Publications per year

2017–2026

14

Authors

112

  1. XZ
    Xinyu Zhang

    Chinese Academy of Sciences, China

    3 publications · 93 citations

    3

    h-index

  2. MF
    Mark F. J. Steel

    University of Warwick, United Kingdom

    3 publications · 933 citations

    3

    h-index

  3. EL
    Eduardo Ley

    International Monetary Fund, United States

    2 publications · 906 citations

    2

    h-index

  4. JK
    Jesper Kjær Nielsen

    Aalborg University, Denmark

    1 publications · 18 citations

    1

    h-index

  5. NC
    N.M.J. Crout

    University of Nottingham, United Kingdom

    1 publications · 42 citations

    1

    h-index

1–5 of 112

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 22 citations

    2

    h-index

  2. Econometric Theory

    2 publications · 82 citations

    2

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 2 publications · 48 citations

    2

    h-index

  4. Journal of Econometrics

    2 publications · 58 citations

    2

    h-index

  5. Ecological Applications

    1 publications · 119 citations

    1

    h-index

1–5