Asymptotic Coverage

Asymptotic Coverage is the property of a credible interval indicating the limiting probability that the interval contains the true parameter value as the sample size approaches infinity.

196

Publications

9.8K

Citations

284

Authors

180

Institutions

Publications per year

2017–2026

16

Authors

284

  1. AF
    Andrew F. Siegel

    University of Washington, United States

    7 publications · 237 citations

    7

    h-index

  2. KL
    Kung‐Jong Lui

    San Diego State University, United States

    7 publications · 97 citations

    7

    h-index

  3. JP
    Joseph P. Romano

    Stanford University, United States

    5 publications · 272 citations

    5

    h-index

  4. PK
    Paul Kabaila

    La Trobe University, Australia

    4 publications · 129 citations

    4

    h-index

  5. NM
    Nitis Mukhopadhyay

    University of Connecticut, United States

    3 publications · 72 citations

    3

    h-index

1–5 of 284

Venues

  1. The Annals of Statistics

    23 publications · 1.6K citations

    18

    h-index

  2. Journal of the American Statistical Association

    20 publications · 1.1K citations

    18

    h-index

  3. Journal of Applied Probability

    JAP · 8 publications · 241 citations

    8

    h-index

  4. Statistics in Medicine

    8 publications · 150 citations

    8

    h-index

  5. Econometrica

    7 publications · 1.8K citations

    7

    h-index

1–5