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
Parents
174
Roger Koenker, Kevin F. Hallock · The Journal of Economic Perspectives · 2001 · 4.3K citations
Least Median of Squares Regression
Peter J. Rousseeuw · Journal of the American Statistical Association · 1984 · 3.6K citations
Least Median of Squares Regression
Peter J. Rousseeuw · Journal of the American Statistical Association · 1984 · 1.1K citations
Robust regression using repeated medians
Andrew F. Siegel · Biometrika · 1982 · 580 citations
1–5 of 174
485
5
h-index
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 485
288
Harvard University
Cambridge, United States
6 h-index
10 publications
697 citations

Imperial College London
London, United Kingdom
5 h-index
8 publications
193 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
5 publications
516 citations
Princeton University
Princeton, United States
5 h-index
5 publications
784 citations
National University of Singapore
Singapore, Singapore
5 h-index
11 publications
271 citations

Johns Hopkins University
Baltimore, United States
4 h-index
26 publications
2.3K citations
Northwestern University
Evanston, United States
4 h-index
10 publications
919 citations

University of Surrey
Guildford, United Kingdom
3 h-index
4 publications
106 citations
1–8 of 288
11 publications · 5.6K citations
11
h-index
6 publications · 714 citations
6
h-index
4 publications · 832 citations
4
h-index
CSDA · 4 publications · 112 citations
4
h-index
4 publications · 283 citations
4
h-index
1–5