Finite-sample Coverage

Finite-Sample Coverage is a statistical property of a credible interval that denotes the actual probability that the interval contains the true parameter value in a given finite sample, as opposed to its asymptotic or nominal coverage.

64

Publications

3.2K

Citations

122

Authors

72

Institutions

Publications per year

2017–2026

21

Authors

122

  1. JL
    Jing Lei

    Carnegie Mellon University, United States

    6 publications · 960 citations

    6

    h-index

  2. HL
    Hannes Leeb

    University of Vienna, Austria

    3 publications · 85 citations

    3

    h-index

  3. LW
    Larry Wasserman

    Carnegie Mellon University, United States

    3 publications · 803 citations

    3

    h-index

  4. LW
    Larry Wasserman

    Carnegie Mellon University, United States

    3 publications · 157 citations

    3

    h-index

  5. LG
    Lei Gong

    Tianjin Medical University Cancer Institute and Hospital, China

    2 publications · 30 citations

    2

    h-index

1–5 of 122

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 164 citations

    8

    h-index

  2. Journal of the American Statistical Association

    7 publications · 1.1K citations

    7

    h-index

  3. Electronic Journal of Statistics

    3 publications · 63 citations

    3

    h-index

  4. 3

    h-index

  5. The Annals of Statistics

    3 publications · 117 citations

    3

    h-index

1–5