Local Regression

Local Regression is a nonparametric regression method that estimates conditional expectations by fitting simple models to localized subsets of the data, distinguishing itself through its reliance on proximity-based weighting to capture nonlinear relationships without assuming a global functional form.

687

Publications

84.6K

Citations

1.8K

Authors

866

Institutions

Publications per year

2017–2026

167

Variants

Loess

Parents

Authors

1.8K

  1. JF
    Jianqing Fan

    Princeton University, United States

    17 publications · 5.3K citations

    16

    h-index

  2. MC
    Martin Charlton

    National University of Ireland, Maynooth, Ireland

    8 publications · 2.1K citations

    8

    h-index

  3. SV
    Sethu Vijayakumar

    University of Edinburgh, United Kingdom

    8 publications · 1.1K citations

    8

    h-index

  4. IG
    Irène Gijbels

    KU Leuven, Belgium

    7 publications · 1.5K citations

    7

    h-index

  5. BL
    Binbin Lu

    Wuhan University, China

    7 publications · 905 citations

    7

    h-index

1–5 of 1.8K

Venues

  1. Journal of the American Statistical Association

    34 publications · 25.4K citations

    30

    h-index

  2. The Annals of Statistics

    16 publications · 4.1K citations

    15

    h-index

  3. Journal of nonparametric statistics

    10 publications · 443 citations

    10

    h-index

  4. 9

    h-index

  5. Statistics & Probability Letters

    8 publications · 207 citations

    8

    h-index

1–5