Bayesian Likelihood Estimation

Bayesian Likelihood Estimation is a statistical inference method that belongs to the class of likelihood estimation techniques, distinguished by its incorporation of prior probability distributions to update the likelihood of model parameters through Bayes' theorem.

95

Publications

12.5K

Citations

269

Authors

162

Institutions

Publications per year

2017–2026

20

Authors

269

  1. FS
    Frank Smets

    European Central Bank, Germany

    4 publications · 6.5K citations

    4

    h-index

  2. BE
    Bradley Efron

    Stanford University, United States

    4 publications · 287 citations

    4

    h-index

  3. MB
    Michael Bar‐Eli

    Wingate Institute, Israel

    4 publications · 55 citations

    4

    h-index

  4. GT
    Gershon Tenenbaum

    Florida State University, United States

    4 publications · 55 citations

    4

    h-index

  5. RW
    Rafael Wouters

    National Bank of Belgium, Belgium

    3 publications · 6.4K citations

    3

    h-index

1–5 of 269

Venues

  1. 7

    h-index

  2. The Astrophysical Journal

    ApJ · 6 publications · 516 citations

    6

    h-index

  3. SSRN Electronic Journal

    Repository · 6 publications · 1.9K citations

    6

    h-index

  4. Biometrika

    5 publications · 634 citations

    5

    h-index

  5. Molecular Phylogenetics and Evolution

    2 publications · 93 citations

    2

    h-index

1–5