James-stein Encoding
James-Stein Encoding is a categorical encoding technique that shrinks group-wise estimates toward a global mean using the James-Stein estimator, thereby reducing variance and improving predictive accuracy in high-cardinality categorical variables.
6
Publications
367
Citations
9
Authors
10
Institutions
Publications per year
2017–2026
0
Parents
6
1–5 of 6
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University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
268 citations
Iowa State University
Ames, United States
2 h-index
2 publications
268 citations
Statistical Research (United States)
Redlands, United States
1 h-index
1 publications
32 citations

Western University
London, Canada
1 h-index
1 publications
33 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
33 citations
The University of Texas at San Antonio
San Antonio, United States
1 h-index
1 publications
32 citations
University of California, Riverside
Riverside, United States
1 h-index
1 publications
33 citations

University of North Carolina at Charlotte
Charlotte, United States
1 h-index
1 publications
11 citations
1–8 of 10
2 publications · 268 citations
2
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2 publications · 55 citations
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1 publications · 33 citations
1
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1 publications · 11 citations
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