Least Absolute Deviations Regression
Least Absolute Deviations Regression is a regression method that belongs to the class of robust statistical estimation techniques, differing from ordinary least squares by minimizing the sum of absolute residuals rather than squared residuals, thereby reducing sensitivity to outliers.
159
Publications
11.8K
Citations
303
Authors
190
Institutions
Publications per year
2017–2026
20
Variants
L1 Norm RegressionL1 RegressionLad Regression
Parents
159
1–5 of 159
303
5
h-index
5
h-index
3
h-index
Massachusetts Institute of Technology, United States
3 publications · 436 citations
3
h-index
Seoul National University of Science and Technology, South Korea
3 publications · 71 citations
3
h-index
1–5 of 303
190
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
7 publications
2.1K citations
Colorado State University
Fort Collins, United States
5 h-index
13 publications
402 citations
New York University
New York, United States
4 h-index
6 publications
228 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
4 publications
615 citations
Auburn University
Auburn, United States
3 h-index
5 publications
92 citations
Seoul National University
Seoul, South Korea
3 h-index
6 publications
175 citations

Pennsylvania State University
State College, United States
3 h-index
5 publications
144 citations
The University of Texas at Austin
Austin, United States
3 h-index
5 publications
289 citations
1–8 of 190
8 publications · 1.1K citations
8
h-index
7 publications · 993 citations
7
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Repository · 6 publications · 302 citations
6
h-index
Repository · 5 publications · 124 citations
5
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4 publications · 166 citations
4
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1–5