Median Regression

Median Regression is a statistical modeling method that estimates the conditional median of a response variable as a function of predictors, differing from mean-based regression approaches by minimizing absolute deviations rather than squared residuals to achieve robustness against outliers.

174

Publications

15.4K

Citations

485

Authors

288

Institutions

Publications per year

2017–2026

30

Variants

Lad RegressionLeast Absolute Deviations

Authors

485

  1. SR
    Stuart R. Lipsitz

    Brigham and Women's Hospital, United States

    5 publications · 142 citations

    5

    h-index

  2. SS
    Sundarraman Subramanian

    University of Maine, United States

    4 publications · 87 citations

    4

    h-index

  3. JS
    John Steele

    Durham University, United Kingdom

    3 publications · 153 citations

    3

    h-index

  4. TR
    Tim Robertson

    University of Iowa, United States

    3 publications · 109 citations

    3

    h-index

  5. IV
    Ingrid Van Keilegom

    UCLouvain, Belgium

    3 publications · 444 citations

    3

    h-index

1–5 of 485

Venues

  1. Journal of the American Statistical Association

    11 publications · 5.6K citations

    11

    h-index

  2. The Annals of Statistics

    6 publications · 714 citations

    6

    h-index

  3. Biometrika

    4 publications · 832 citations

    4

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 4 publications · 112 citations

    4

    h-index

  5. Biometrics

    4 publications · 283 citations

    4

    h-index

1–5