Model Averaged Estimation

Model Averaged Estimation is a statistical inference method that belongs to the class of model averaging techniques, distinguished by its computation of parameter estimates as a weighted average over multiple candidate models, where the weights are typically derived from posterior model probabilities or information-theoretic criteria.

86

Publications

9.9K

Citations

225

Authors

129

Institutions

Publications per year

2017–2026

26

Authors

225

  1. XZ
    Xinyu Zhang

    Chinese Academy of Sciences, China

    16 publications · 885 citations

    14

    h-index

  2. GZ
    Guohua Zou

    Chinese Academy of Sciences, China

    7 publications · 589 citations

    7

    h-index

  3. AT
    Alan T. K. Wan

    City University of Hong Kong, Hong Kong SAR China

    7 publications · 490 citations

    7

    h-index

  4. HL
    Hua Liang

    George Washington University, United States

    3 publications · 483 citations

    3

    h-index

  5. DY
    Dalei Yu

    Yunnan University of Finance And Economics, China

    3 publications · 206 citations

    3

    h-index

1–5 of 225

Venues

  1. Journal of the American Statistical Association

    5 publications · 1.3K citations

    5

    h-index

  2. Journal of Econometrics

    4 publications · 155 citations

    4

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 4 publications · 214 citations

    4

    h-index

  4. SSRN Electronic Journal

    Repository · 3 publications · 59 citations

    3

    h-index

  5. Ornithological Applications

    3 publications · 138 citations

    3

    h-index

1–5