Minimax Risk
Minimax Risk is the infimum of the maximum expected loss over all possible estimators, serving as a decision-theoretic criterion that evaluates the worst-case performance of an estimation procedure under a given model class.
339
Publications
24.4K
Citations
478
Authors
238
Institutions
Publications per year
2017–2026
67
Variants
Minimax Loss
Parents
339
Eric R. Ziegel, E. L. Lehmann, George Casella · Technometrics · 1999 · 4.3K citations
Local Linear Regression Smoothers and Their Minimax Efficiencies
Jianqing Fan · The Annals of Statistics · 1993 · 903 citations · Full text
Wedgelets: nearly minimax estimation of edges
David L. Donoho · The Annals of Statistics · 1999 · 642 citations · Full text
1–5 of 339
478
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University of California, Berkeley, United States
8 publications · 1.2K citations
8
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7
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7
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1–5 of 478
238
Stanford University
Stanford, United States
16 h-index
39 publications
3.8K citations
University of California, Berkeley
Berkeley, United States
13 h-index
29 publications
3.5K citations
University of Pennsylvania
Philadelphia, United States
10 h-index
18 publications
1.2K citations
Yale University
New Haven, United States
9 h-index
12 publications
1.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
15 publications
793 citations
University of Chicago
Chicago, United States
6 h-index
10 publications
636 citations
Laboratoire de Mathématiques d'Orsay
Orsay, France
6 h-index
7 publications
269 citations

Sorbonne Université
Paris, France
6 h-index
8 publications
353 citations
1–8 of 238
81 publications · 7.8K citations
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Repository · 33 publications · 1.2K citations
18
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19 publications · 2.3K citations
16
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14 publications · 459 citations
13
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12 publications · 506 citations
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