Penalized Generalized Linear Models

Penalized Generalized Linear Models is a type of generalized linear model that incorporates a penalty term on the model coefficients to prevent overfitting and enable variable selection by shrinking parameter estimates toward zero.

60

Publications

7.2K

Citations

166

Authors

102

Institutions

Publications per year

2017–2026

19

Variants

Penalized Glms

Authors

166

  1. BW
    B. W. Silverman

    University of Bath, United Kingdom

    3 publications · 1.4K citations

    3

    h-index

  2. JG
    Jan Gertheiss

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 195 citations

    3

    h-index

  3. GT
    Gerhard Tutz

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 344 citations

    3

    h-index

  4. CQ
    Chunfu Qiu

    Sanofi (United States), United States

    2 publications · 168 citations

    2

    h-index

  5. BS
    Brian S. Yandell

    University of Wisconsin–Madison, United States

    2 publications · 325 citations

    2

    h-index

1–5 of 166

Venues

  1. Statistics and Computing

    5 publications · 384 citations

    5

    h-index

  2. 4

    h-index

  3. 4

    h-index

  4. The Annals of Statistics

    3 publications · 989 citations

    3

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 3 publications · 201 citations

    3

    h-index

1–5