Partially Linear Models
Partially Linear Models is a semiparametric modeling framework in which the response variable is expressed as the sum of a linear function of some explanatory variables and a nonparametric function of other variables, allowing for flexible functional form estimation while maintaining interpretability of key covariate effects.
343
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42.1K
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521
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285
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2017–2026
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Partial least-squares regression: a tutorial
Paul Geladi, Bruce R. Kowalski · Analytica Chimica Acta · 1986 · 6.9K citations
Mervyn G. Marasinghe, Rudolf J. Freund, Ramon C. Littell et al. · Technometrics · 1988 · 1.1K citations
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Beijing University of Technology
Beijing, China
16 h-index
39 publications
1.3K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
14 h-index
16 publications
1.7K citations
Texas A&M University
College Station, United States
13 h-index
25 publications
3.1K citations
Academy of Mathematics and Systems Science
Beijing, China
13 h-index
21 publications
922 citations

East China Normal University
Shanghai, China
11 h-index
20 publications
702 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
11 h-index
11 publications
312 citations
Shanghai University of Finance and Economics
Shanghai, China
10 h-index
13 publications
398 citations

Universidade da Coruña
A Coruña, Spain
10 h-index
15 publications
493 citations
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35 publications · 1.6K citations
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CSDA · 20 publications · 656 citations
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