Posterior Consistency

Posterior Consistency is a theoretical property in Bayesian statistics asserting that the posterior distribution concentrates around the true parameter value as the sample size increases, under appropriate topological and probabilistic conditions.

121

Publications

10.6K

Citations

192

Authors

140

Institutions

Publications per year

2017–2026

23

Variants

Bayesian Consistency

Authors

192

  1. DB
    David B. Dunson

    Duke University, United States

    7 publications · 352 citations

    7

    h-index

  2. SG
    Subhashis Ghosal

    North Carolina State University, United States

    6 publications · 710 citations

    6

    h-index

  3. PD
    Persi Diaconis

    Stanford University, United States

    6 publications · 913 citations

    6

    h-index

  4. AM
    Andrew M. Stuart

    University of Warwick, United Kingdom

    5 publications · 278 citations

    5

    h-index

  5. SG
    Stephen G. Walker

    University of Kent, United Kingdom

    5 publications · 208 citations

    5

    h-index

1–5 of 192

Venues

  1. The Annals of Statistics

    17 publications · 1.6K citations

    14

    h-index

  2. Biometrika

    9 publications · 462 citations

    9

    h-index

  3. Bayesian Analysis

    7 publications · 248 citations

    7

    h-index

  4. 5

    h-index

  5. arXiv (Cornell University)

    Repository · 5 publications · 198 citations

    5

    h-index

1–5