Nonparametric Regression is a statistical modeling framework that belongs to the class of regression methods, distinguished by its avoidance of specifying a fixed parametric form for the relationship between predictors and response, instead allowing the data to determine the functional form flexibly and adaptively.
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Non-parametric Regression
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4.3K
Nonparametric Tests Against Trend
Henry B. Mann · Econometrica · 1945 · 16.7K citations
Phylogenies and the Comparative Method
Joseph Felsenstein · The American Naturalist · 1985 · 10.1K citations
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Texas A&M University
College Station, United States
44 h-index
128 publications
9.7K citations
University of California, Berkeley
Berkeley, United States
37 h-index
91 publications
12.5K citations
Yale University
New Haven, United States
33 h-index
67 publications
5K citations
Cornell University
Ithaca, United States
33 h-index
97 publications
15.1K citations
Stanford University
Stanford, United States
33 h-index
74 publications
14.7K citations
University of Pennsylvania
Philadelphia, United States
32 h-index
91 publications
7.2K citations
Australian National University
Canberra, Australia
30 h-index
62 publications
6.2K citations
Princeton University
Princeton, United States
30 h-index
59 publications
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305 publications · 55.9K citations
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- The Annals of Statistics
246 publications · 39.6K citations
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- Econometrica
50 publications · 30.7K citations
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
55 publications · 8.7K citations
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- Biometrics
91 publications · 43.2K citations
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