Exact Sufficient Statistics

Exact Sufficient Statistics is a statistical function of categorical data that belongs to the class of sufficient statistics and is distinguished by its ability to capture all relevant information about the model parameters without relying on asymptotic approximations, thereby enabling exact inference through discrete probability distributions.

79

Publications

5.8K

Citations

122

Authors

85

Institutions

Publications per year

2017–2026

6

Authors

122

  1. CR
    Cyrus R. Mehta

    Cytel (United States), United States

    6 publications · 815 citations

    6

    h-index

  2. KF
    Karim F. Hirji

    University of California, Los Angeles, United States

    6 publications · 276 citations

    6

    h-index

  3. NR
    Nitin R. Patel

    Cytel (United States), United States

    4 publications · 681 citations

    4

    h-index

  4. JK
    Jerome Klotz

    University of Wisconsin–Madison, United States

    3 publications · 157 citations

    3

    h-index

  5. BC
    Brian Caffo

    Johns Hopkins University, United States

    2 publications · 37 citations

    2

    h-index

1–5 of 122

Venues

  1. 8

    h-index

  2. Biometrika

    5 publications · 125 citations

    5

    h-index

  3. The Annals of Statistics

    4 publications · 452 citations

    4

    h-index

  4. Journal of Computational and Graphical Statistics

    JCGS · 3 publications · 193 citations

    3

    h-index

  5. The Annals of Mathematical Statistics

    3 publications · 72 citations

    3

    h-index

1–5