Adaptive Shrinkage
Adaptive Shrinkage is a statistical estimation method within the empirical Bayes framework that automatically adjusts the degree of shrinkage applied to parameter estimates based on the data, thereby balancing bias and variance in a way that depends on the underlying signal strength and sparsity patterns.
134
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16.8K
Citations
345
Authors
183
Institutions
Publications per year
2017–2026
41
Parents
134
Ideal spatial adaptation by wavelet shrinkage
David L. Donoho, Iain M. Johnstone · Biometrika · 1994 · 7.8K citations
Ideal Spatial Adaptation by Wavelet Shrinkage
David L. Donoho, Iain M. Johnstone · Biometrika · 1994 · 2.5K citations
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University of Chicago
Chicago, United States
6 h-index
9 publications
321 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
5 publications
331 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
4 publications
280 citations

Ghent University
Ghent, Belgium
3 h-index
8 publications
1.1K citations

Chung-Ang University
Seoul, South Korea
3 h-index
13 publications
291 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
7 publications
188 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
8 publications
289 citations
University of Michigan
Ann Arbor, United States
3 h-index
13 publications
518 citations
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11 publications · 482 citations
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3 publications · 55 citations
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3 publications · 80 citations
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3 publications · 101 citations
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