Conditional Mean Estimation

Conditional Mean Estimation is a statistical inference method that belongs to the class of conditional simulation techniques, distinguished by its focus on estimating the expected value of a random field or process at unsampled locations given observed data and spatial correlation structures.

740

Publications

78.2K

Citations

1.3K

Authors

644

Institutions

Publications per year

2017–2026

127

Authors

1.3K

  1. JM
    Jeffrey M. Wooldridge

    Michigan State University, United States

    13 publications · 4.3K citations

    12

    h-index

  2. DT
    Dag Tjøstheim

    University of Bergen, Norway

    9 publications · 1.2K citations

    9

    h-index

  3. AR
    Andrea Rotnitzky

    Harvard University, United States

    8 publications · 3.9K citations

    8

    h-index

  4. JM
    James M. Robins

    Harvard University, United States

    7 publications · 3.9K citations

    7

    h-index

  5. RD
    R. Dennis Cook

    University of Minnesota, United States

    6 publications · 533 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. Journal of the American Statistical Association

    33 publications · 6.5K citations

    26

    h-index

  2. The Annals of Statistics

    26 publications · 3.6K citations

    23

    h-index

  3. SSRN Electronic Journal

    Repository · 40 publications · 1.5K citations

    20

    h-index

  4. Biometrika

    21 publications · 2.4K citations

    19

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 18 publications · 1.3K citations

    16

    h-index

1–5