Matching Priors

Matching Priors is a Bayesian statistical method that belongs to the class of objective prior specification techniques, distinguished by its property of yielding posterior credible intervals that match the frequentist coverage probabilities up to a desired order of approximation.

37

Publications

1K

Citations

59

Authors

43

Institutions

Publications per year

2017–2026

4

Authors

59

  1. RM
    Rahul Mukerjee

    Indian Institute of Management Calcutta, India

    5 publications · 224 citations

    5

    h-index

  2. MG
    Malay Ghosh

    University of Florida, United States

    4 publications · 206 citations

    4

    h-index

  3. GS
    Gauri Sankar Datta

    University of Georgia, United States

    4 publications · 268 citations

    4

    h-index

  4. LV
    Laura Ventura

    University of Padua, Italy

    3 publications · 81 citations

    3

    h-index

  5. YT
    Yincai Tang

    East China Normal University, China

    2 publications · 36 citations

    2

    h-index

1–5 of 59

Venues

  1. Biometrika

    10 publications · 350 citations

    10

    h-index

  2. Bayesian Analysis

    3 publications · 86 citations

    3

    h-index

  3. Calcutta Statistical Association Bulletin

    2 publications · 50 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5