Bayes Risk

Bayes Risk is the expected value of the loss function under the joint distribution of the data and the true parameter, minimized over all possible decision rules, representing the lowest achievable expected loss in a Bayesian decision-theoretic framework.

428

Publications

22.2K

Citations

809

Authors

368

Institutions

Publications per year

2017–2026

71

Authors

809

  1. HN
    Hermann Ney

    RWTH Aachen University, Germany

    7 publications · 177 citations

    7

    h-index

  2. RM
    Robert M. Gray

    Stanford University, United States

    7 publications · 313 citations

    7

    h-index

  3. KO
    K.L. Oehler

    Stanford University, United States

    6 publications · 265 citations

    6

    h-index

  4. CL
    Chien‐Tai Lin

    Tamkang University, Taiwan

    5 publications · 164 citations

    5

    h-index

  5. BK
    Brian Kingsbury

    IBM Research - Thomas J. Watson Research Center, United States

    5 publications · 989 citations

    5

    h-index

1–5 of 809

Venues

  1. The Annals of Statistics

    41 publications · 3.1K citations

    24

    h-index

  2. IEEE Transactions on Information Theory

    25 publications · 1.7K citations

    18

    h-index

  3. Communication in Statistics- Theory and Methods

    14 publications · 251 citations

    12

    h-index

  4. arXiv (Cornell University)

    Repository · 15 publications · 366 citations

    12

    h-index

  5. Journal of the American Statistical Association

    11 publications · 1.8K citations

    10

    h-index

1–5