Global Error Measures
Global Error Measures is a quantitative framework used in numerical analysis and computational mathematics to assess the cumulative deviation between an approximate solution and the exact solution over an entire domain or time interval, distinguishing it from local error measures by integrating errors across all steps or spatial locations.
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6K
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302
Authors
165
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2017–2026
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Density estimation by wavelet thresholding
David L. Donoho, Iain M. Johnstone, Gérard Kerkyacharian et al. · The Annals of Statistics · 1996 · 773 citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
8 publications
214 citations
Martin Luther University Halle-Wittenberg
Halle, Germany
4 h-index
4 publications
107 citations
Instituto Superior Técnico
Lisbon, Portugal
4 h-index
4 publications
132 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
10 publications
556 citations
Université Paris Cité
Paris, France
3 h-index
7 publications
3.2K citations

Australian National University
Canberra, Australia
3 h-index
8 publications
220 citations

TU Wien
Vienna, Austria
3 h-index
4 publications
281 citations

Sorbonne Université
Paris, France
3 h-index
5 publications
203 citations
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7 publications · 162 citations
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7 publications · 362 citations
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TOMS · 3 publications · 119 citations
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