Moment Estimation

Moment Estimation is a statistical inference method that belongs to the class of moment-based techniques, distinguished by its use of polynomial chaos expansions to approximate and compute statistical moments of uncertain systems governed by stochastic models.

1.8K

Publications

127.7K

Citations

3.1K

Authors

1.4K

Institutions

Publications per year

2017–2026

381

Authors

3.1K

  1. LR
    L. R. Shenton

    University of Georgia, United States

    10 publications · 330 citations

    10

    h-index

  2. AA
    Alessandro Astolfi

    Imperial College London, United Kingdom

    9 publications · 317 citations

    10

    h-index

  3. WK
    Whitney K. Newey

    Massachusetts Institute of Technology, United States

    10 publications · 2.8K citations

    10

    h-index

  4. AC
    Arthur Cohen

    University of Georgia, United States

    8 publications · 492 citations

    8

    h-index

  5. GT
    George Tauchen

    Duke University, United States

    8 publications · 1.7K citations

    8

    h-index

1–5 of 3.1K

Venues

  1. Journal of Econometrics

    47 publications · 9.7K citations

    32

    h-index

  2. Econometrica

    27 publications · 21K citations

    25

    h-index

  3. Journal of the American Statistical Association

    28 publications · 3.8K citations

    21

    h-index

  4. Pattern Recognition

    23 publications · 1.3K citations

    19

    h-index

  5. SSRN Electronic Journal

    Repository · 27 publications · 1.4K citations

    19

    h-index

1–5