Weighted Bootstrap
Weighted Bootstrap is a resampling technique in phylogenetics that assigns non-uniform probabilities to sites or characters during replicate dataset generation, distinguishing it from conventional bootstrap methods by incorporating differential weighting to reflect varying confidence or evolutionary signal across data positions.
47
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1.9K
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87
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60
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2017–2026
8
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How do bootstrap and permutation tests work?
Arnold Janssen, Thorsten Pauls · The Annals of Statistics · 2003 · 171 citations · Full text
Dental insurance and use of dental services.
W J Millar, David Locker · PubMed · 1999 · 89 citations
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University of Wisconsin–Madison
Madison, United States
4 h-index
6 publications
475 citations
University of Utah
Salt Lake City, United States
3 h-index
3 publications
83 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
132 citations

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
51 citations
National Bank of Greece (Greece)
Athens, Greece
2 h-index
2 publications
71 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
2 h-index
3 publications
69 citations
University of Iowa
Iowa City, United States
2 h-index
2 publications
129 citations
University of Michigan
Ann Arbor, United States
2 h-index
6 publications
122 citations
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4 publications · 228 citations
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CJS · 3 publications · 105 citations
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2 publications · 140 citations
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