Lower Bounds Of Error
Lower Bounds of Error is a theoretical construct in error estimation that specifies the minimum level of inaccuracy achievable by any estimator within a given class of models or under a specified set of assumptions, thereby providing a benchmark for evaluating the fundamental limits of estimation performance.
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665
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Publications per year
2017–2026
119
Parents
882
The Weighted Majority Algorithm
N. Littlestone, Manfred K. Warmuth · Information and Computation · 1994 · 2K citations
Coulombic potential energy integrals and approximations
Jerry L. Whitten · The Journal of Chemical Physics · 1973 · 1.1K citations
Natural Sciences, Chemistry, Physics +16
Bootstrapping Regression Models
Darcy A. Freedman · The Annals of Statistics · 1981 · 1K citations
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National Institute of Standards and Technology, United States
7 publications · 251 citations
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Centre National de la Recherche Scientifique
Paris, France
16 h-index
35 publications
2.1K citations
National University of Singapore
Singapore, Singapore
14 h-index
24 publications
1.2K citations
Massachusetts Institute of Technology
Cambridge, United States
14 h-index
33 publications
1.3K citations
Technion – Israel Institute of Technology
Haifa, Israel
13 h-index
28 publications
1.7K citations
Stanford University
Stanford, United States
12 h-index
14 publications
800 citations
University of California, Berkeley
Berkeley, United States
12 h-index
23 publications
1.6K citations

Tel Aviv University
Tel Aviv, Israel
12 h-index
24 publications
2K citations
Harvard University
Cambridge, United States
11 h-index
16 publications
1.9K citations
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MCOM · 20 publications · 1K citations
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