Robust Variable Selection
Robust Variable Selection is a statistical methodology that identifies relevant predictors in a regression model while maintaining reliability and stability under violations of standard assumptions, such as the presence of outliers, heavy-tailed errors, or influential observations.
142
Publications
8.7K
Citations
410
Authors
259
Institutions
Publications per year
2017–2026
51
Parents
142
Robust rank correlation based screening
Gaorong Li, Heng Peng, Jun Zhang · The Annals of Statistics · 2012 · 317 citations · Full text
1–5 of 142
410
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 410
259
Yale University
New Haven, United States
4 h-index
5 publications
401 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
4 publications
625 citations
Fudan University
Shanghai, China
4 h-index
8 publications
211 citations

Central South University
Changsha, China
4 h-index
14 publications
1.6K citations
Harvard University
Cambridge, United States
3 h-index
3 publications
75 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
4 publications
181 citations

Chongqing University
Chongqing, China
3 h-index
8 publications
213 citations

Pennsylvania State University
State College, United States
3 h-index
7 publications
273 citations
1–8 of 259
CSDA · 12 publications · 512 citations
12
h-index
7 publications · 195 citations
7
h-index
6 publications · 260 citations
6
h-index
5 publications · 222 citations
5
h-index
5 publications · 355 citations
5
h-index
1–5