Penalized Maximum Likelihood Estimation

Penalized Maximum Likelihood Estimation is a statistical estimation method that extends maximum likelihood estimation by incorporating a penalty term into the likelihood function to regularize parameter estimates and prevent overfitting.

296

Publications

33.6K

Citations

680

Authors

351

Institutions

Publications per year

2017–2026

56

Authors

680

  1. JA
    Jeffrey A. Fessler

    University of Michigan, United States

    9 publications · 2K citations

    9

    h-index

  2. VR
    Virginie Rondeau

    Inserm, France

    6 publications · 663 citations

    6

    h-index

  3. JQ
    Jinyi Qi

    University of California, Davis, United States

    5 publications · 251 citations

    5

    h-index

  4. AO
    Alfred O. Hero

    University of Michigan, United States

    4 publications · 1.4K citations

    4

    h-index

  5. DF
    David Firth

    University of Warwick, United Kingdom

    4 publications · 4.9K citations

    4

    h-index

1–5 of 680

Venues

  1. The Annals of Statistics

    12 publications · 1.7K citations

    12

    h-index

  2. Biometrika

    10 publications · 5.6K citations

    10

    h-index

  3. Biometrics

    10 publications · 969 citations

    10

    h-index

  4. Journal of Multivariate Analysis

    10 publications · 591 citations

    10

    h-index

  5. Electronic Journal of Statistics

    9 publications · 329 citations

    9

    h-index

1–5