Hyperpriors

Hyperprior is a probability distribution placed on the parameters of a prior distribution, serving to quantify uncertainty about prior assumptions in Bayesian hierarchical models.

39

Publications

2.7K

Citations

86

Authors

59

Institutions

Publications per year

2017–2026

8

Variants

Second-level Priors

Authors

86

  1. PK
    Prem K. Goel

    The Ohio State University, United States

    3 publications · 94 citations

    3

    h-index

  2. ES
    Erkki Somersalo

    Case Western Reserve University, United States

    2 publications · 83 citations

    2

    h-index

  3. JO
    James O. Berger

    Purdue University West Lafayette, United States

    2 publications · 145 citations

    2

    h-index

  4. WE
    William E. Strawderman

    Rutgers, The State University of New Jersey, United States

    2 publications · 145 citations

    2

    h-index

  5. MP
    Monica Pragliola

    University of Bologna, Italy

    2 publications · 83 citations

    2

    h-index

1–5 of 86

Venues

  1. The Annals of Statistics

    5 publications · 260 citations

    5

    h-index

  2. 4

    h-index

  3. 2

    h-index

  4. Bayesian Analysis

    2 publications · 75 citations

    2

    h-index

  5. Inverse Problems

    1 publications · 53 citations

    1

    h-index

1–5