Local Regression
Local Regression is a nonparametric regression method that estimates conditional expectations by fitting simple models to localized subsets of the data, distinguishing itself through its reliance on proximity-based weighting to capture nonlinear relationships without assuming a global functional form.
687
Publications
84.6K
Citations
1.8K
Authors
866
Institutions
Publications per year
2017–2026
167
Variants
Loess
Parents
687
1–5 of 687
1.8K
16
h-index
8
h-index
8
h-index
7
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7
h-index
1–5 of 1.8K
866

Chinese Academy of Sciences
Beijing, China
16 h-index
46 publications
1.9K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
24 publications
1.8K citations
University of California, Berkeley
Berkeley, United States
12 h-index
23 publications
2.8K citations
University of California San Diego
San Diego, United States
11 h-index
15 publications
1.5K citations

Cornell University
Ithaca, United States
10 h-index
11 publications
7.2K citations
University of Southern California
Los Angeles, United States
9 h-index
16 publications
2.3K citations
Wuhan University
Wuhan, China
9 h-index
17 publications
748 citations

Universidade da Coruña
A Coruña, Spain
9 h-index
21 publications
532 citations
1–8 of 866
34 publications · 25.4K citations
30
h-index
16 publications · 4.1K citations
15
h-index
10 publications · 443 citations
10
h-index
9 publications · 1.2K citations
9
h-index
8 publications · 207 citations
8
h-index
1–5