Ridge Regression
Ridge Regression is a regularized linear regression method that belongs to the class of shrinkage estimators, distinguished by its use of an L2 penalty on the coefficients to mitigate multicollinearity and prevent overfit Practicing multicollinearity and overfitting.
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2017–2026
967
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Technometrics · 2005 · 18.1K citations
Business, Biostatistics, Mathematics +17
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Arthur E. Hoerl, Robert W. Kennard · Technometrics · 1970 · 8.9K citations
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Florida International University
Miami, United States
25 h-index
39 publications
3K citations

Chinese Academy of Sciences
Beijing, China
21 h-index
62 publications
2.8K citations
Stanford University
Stanford, United States
20 h-index
39 publications
28.5K citations

Jönköping University
Jönköping, Sweden
19 h-index
38 publications
2.4K citations
Cukurova University
Adana, Türkiye
18 h-index
47 publications
2K citations

Centre National de la Recherche Scientifique
Paris, France
16 h-index
55 publications
2K citations
University of California, Berkeley
Berkeley, United States
16 h-index
37 publications
3K citations
Tsinghua University
Beijing, China
15 h-index
35 publications
1.9K citations
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59 publications · 35.1K citations
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76 publications · 5.2K citations
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Repository · 87 publications · 4.1K citations
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39 publications · 3.8K citations
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59 publications · 3.1K citations
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