Prior Hyperparameter Estimation

Prior Hyperparameter Estimation is a statistical inference method that belongs to the class of empirical Bayes techniques, wherein the hyperparameters of a prior distribution are estimated from observed data rather than specified subjectively or theoretically.

90

Publications

9.6K

Citations

233

Authors

152

Institutions

Publications per year

2017–2026

29

Authors

233

  1. PK
    Prem K. Goel

    The Ohio State University, United States

    3 publications · 94 citations

    3

    h-index

  2. SM
    Simon Mak

    Duke University, United States

    2 publications · 43 citations

    2

    h-index

  3. MO
    Masato Okada

    The University of Tokyo, Japan

    2 publications · 41 citations

    2

    h-index

  4. PB
    Pierre Baldi

    University of California, Irvine, United States

    2 publications · 1.7K citations

    2

    h-index

  5. AU
    Akio Utsugi

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 46 citations

    2

    h-index

1–5 of 233

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 108 citations

    4

    h-index

  2. The Annals of Statistics

    4 publications · 908 citations

    4

    h-index

  3. 4

    h-index

  4. 4

    h-index

  5. IEEE Transactions on Image Processing

    3 publications · 379 citations

    3

    h-index

1–5