Posterior Contraction

Posterior Contraction is a theoretical property in Bayesian statistics characterizing the rate at which the posterior distribution concentrates around the true parameter value as the sample size increases.

55

Publications

2.7K

Citations

85

Authors

49

Institutions

Publications per year

2017–2026

22

Authors

85

  1. SG
    Subhashis Ghosal

    North Carolina State University, United States

    5 publications · 164 citations

    5

    h-index

  2. AV
    Aad van der Vaart

    Vrije Universiteit Amsterdam, Netherlands

    4 publications · 476 citations

    4

    h-index

  3. SJ
    Seonghyun Jeong

    Yonsei University, South Korea

    3 publications · 72 citations

    3

    h-index

  4. EB
    Eduard Belitser

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 62 citations

    3

    h-index

  5. DP
    Debdeep Pati

    Texas A&M University, United States

    3 publications · 189 citations

    3

    h-index

1–5 of 85

Venues

  1. The Annals of Statistics

    14 publications · 968 citations

    14

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 191 citations

    6

    h-index

  3. Electronic Journal of Statistics

    6 publications · 259 citations

    6

    h-index

  4. Bernoulli

    3 publications · 62 citations

    3

    h-index

  5. Headache The Journal of Head and Face Pain

    2 publications · 35 citations

    2

    h-index

1–5