Local Polynomial Regression is a nonparametric regression method that estimates the conditional expectation of a response variable by fitting a low-degree polynomial locally to neighboring data points, with the fit at each point weighted by proximity to that point.
315
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Locally Weighted Polynomial Regression
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315
Clifford M. Hurvich, Jeffrey S. Simonoff, Chih‐Ling Tsai · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1998 · 1.3K citations · Full text
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338
Princeton University
Princeton, United States
13 h-index
18 publications
2.7K citations
Universidade da Coruña
A Coruña, Spain
13 h-index
33 publications
800 citations
Cornell University
Ithaca, United States
13 h-index
13 publications
2K citations
Columbia University
New York, United States
11 h-index
14 publications
2.5K citations
University of California San Diego
San Diego, United States
10 h-index
12 publications
1.6K citations
Texas A&M University
College Station, United States
10 h-index
15 publications
1.3K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
10 h-index
18 publications
2.1K citations
Yale University
New Haven, United States
7 h-index
11 publications
547 citations
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- Journal of the American Statistical Association
32 publications · 6.4K citations
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- Journal of nonparametric statistics
14 publications · 523 citations
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- The Annals of Statistics
11 publications · 1.7K citations
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
9 publications · 2.5K citations
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- Journal of Multivariate Analysis
8 publications · 440 citations
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