Posterior Modes

Posterior Mode is the value at which a posterior distribution attains its maximum, representing the most probable parameter estimate given the observed data and prior information.

58

Publications

3K

Citations

186

Authors

103

Institutions

Publications per year

2017–2026

22

Variants

Map EstimatesMaximum A Posteriori Estimates

Authors

186

  1. HP
    Harald Pfeiffer

    California Institute of Technology, United States

    2 publications · 137 citations

    2

    h-index

  2. RO
    R. O’Shaughnessy

    Rochester Institute of Technology, United States

    2 publications · 137 citations

    2

    h-index

  3. LF
    Ludwig Fahrmeir

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 214 citations

    2

    h-index

  4. SL
    Simon Lyddon

    University of Oxford, United Kingdom

    2 publications · 25 citations

    2

    h-index

  5. CH
    Chris Holmes

    University of Oxford, United Kingdom

    2 publications · 25 citations

    2

    h-index

1–5 of 186

Venues

  1. 8

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 55 citations

    3

    h-index

  3. Physical review. D/Physical review. D.

    PRD · 3 publications · 180 citations

    3

    h-index

  4. The Annals of Statistics

    2 publications · 177 citations

    2

    h-index

  5. Genetics Selection Evolution

    GSE · 2 publications · 110 citations

    2

    h-index

1–5