Varying-coefficient Models

Varying-Coefficient Models is a semiparametric modeling framework in which the coefficients of a regression model are allowed to vary as smooth functions of an effect modifier, such as time or another covariate, thereby combining the structure of parametric models with the flexibility of nonparametric estimation.

318

Publications

20.9K

Citations

531

Authors

336

Institutions

Publications per year

2017–2026

56

Authors

531

  1. LX
    Liugen Xue

    Beijing University of Technology, China

    15 publications · 738 citations

    14

    h-index

  2. RL
    Runze Li

    Pennsylvania State University, United States

    11 publications · 1.5K citations

    11

    h-index

  3. DŞ
    Damla Şentürk

    University of California, Los Angeles, United States

    10 publications · 479 citations

    10

    h-index

  4. RZ
    Riquan Zhang

    East China Normal University, China

    11 publications · 288 citations

    10

    h-index

  5. HY
    Hu Yang

    Chongqing University, China

    8 publications · 105 citations

    8

    h-index

1–5 of 531

Venues

  1. Journal of the American Statistical Association

    30 publications · 3.3K citations

    24

    h-index

  2. Journal of Multivariate Analysis

    21 publications · 956 citations

    16

    h-index

  3. Biometrika

    12 publications · 1.6K citations

    12

    h-index

  4. The Annals of Statistics

    12 publications · 1.1K citations

    12

    h-index

  5. Statistics & Probability Letters

    10 publications · 339 citations

    10

    h-index

1–5