Shrinkage Estimation
Shrinkage Estimation is a statistical estimation method that belongs to the class of biased estimation techniques and is distinguished by its deliberate reduction of estimation variance through the imposition of constraints or penalties that pull estimates toward a pre-specified value or structure, often resulting in improved overall accuracy relative to unbiased estimators in finite samples.
532
Publications
198.5K
Citations
882
Authors
467
Institutions
Publications per year
2017–2026
90
532
1–5 of 532
882
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467
University of Zurich
Zurich, Switzerland
16 h-index
33 publications
4.5K citations

University of Windsor
Windsor, Canada
12 h-index
21 publications
571 citations

Carleton University
Ottawa, Canada
11 h-index
14 publications
302 citations

University of Toronto
Toronto, Canada
10 h-index
13 publications
52.2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
10 h-index
16 publications
760 citations
Florida International University
Miami, United States
9 h-index
13 publications
691 citations
Purdue University West Lafayette
West Lafayette, United States
9 h-index
15 publications
1K citations
The University of Tokyo
Tokyo, Japan
9 h-index
12 publications
285 citations
1–8 of 467
25 publications · 7.7K citations
19
h-index
26 publications · 1K citations
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17 publications · 1.8K citations
16
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26 publications · 929 citations
15
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CSDA · 14 publications · 497 citations
13
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1–5