Quantile Regression

Quantile Regression is a statistical regression method that models the conditional quantiles of a dependent variable's distribution as functions of independent variables, thereby providing a more comprehensive analysis of the relationship between variables beyond the conditional mean.

5.6K

Publications

321.8K

Citations

14.5K

Authors

4.3K

Institutions

Publications per year

2017–2026

2.9K

Variants

Qr

Parents

Authors

14.5K

  1. RK
    Roger Koenker

    University of Illinois Urbana-Champaign, United States

    39 publications · 10.1K citations

    33

    h-index

  2. TS
    Tomiwa Sunday Adebayo

    Cyprus International University, Cyprus

    33 publications · 2.3K citations

    26

    h-index

  3. VC
    Victor Chernozhukov

    Massachusetts Institute of Technology, United States

    36 publications · 6K citations

    25

    h-index

  4. KY
    Keming Yu

    Brunel University of London, United Kingdom

    34 publications · 3.9K citations

    24

    h-index

  5. HW
    Huixia Wang

    North Carolina State University, United States

    29 publications · 1.8K citations

    23

    h-index

1–5 of 14.5K

Venues

  1. Journal of the American Statistical Association

    112 publications · 15.2K citations

    61

    h-index

  2. Journal of Econometrics

    79 publications · 10.4K citations

    48

    h-index

  3. SSRN Electronic Journal

    Repository · 199 publications · 6.5K citations

    42

    h-index

  4. The Annals of Statistics

    57 publications · 6.4K citations

    40

    h-index

  5. Environmental Science and Pollution Research

    ESPR · 61 publications · 4.7K citations

    36

    h-index

1–5