Bootstrap Resampling Weights
Bootstrap Resampling Weights is a statistical construct that assigns observation-specific multinomial sampling weights to individual data points in a bootstrap sample, reflecting their frequency of selection in a resampling-with-replacement procedure, thereby quantifying the contribution of each original observation to a given bootstrap replicate.
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1.1K
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49
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34
Institutions
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2017–2026
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Laboratoire de Probabilités et Modèles Aléatoires, France
2 publications · 63 citations
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Laboratoire de Probabilités et Modèles Aléatoires
Paris, France
2 h-index
4 publications
103 citations
Weierstrass Institute for Applied Analysis and Stochastics
Berlin, Germany
2 h-index
4 publications
103 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
272 citations
Programs for Assessment of Technology in Health Research Institute
Hamilton, Canada
1 h-index
3 publications
267 citations
United Utilities (United Kingdom)
Warrington, United Kingdom
1 h-index
3 publications
267 citations
UCL Australia
Adelaide, Australia
1 h-index
1 publications
45 citations
Université Paris Cité
Paris, France
1 h-index
3 publications
60 citations
O'Brien Institute
Melbourne, Australia
1 h-index
2 publications
118 citations
1–8 of 34
4 publications · 211 citations
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2 publications · 79 citations
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2 publications · 45 citations
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JCGS · 1 publications · 45 citations
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AOAS · 1 publications · 21 citations
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