Piecewise Regression
Piecewise Regression is a statistical modeling technique that belongs to the class of regression methods, distinguished by its incorporation of distinct functional forms or parameter estimates across different intervals of the independent variable, as defined by threshold points.
445
Publications
26.3K
Citations
1.7K
Authors
809
Institutions
Publications per year
2017–2026
178
Parents
445
Estimating regression models with unknown break‐points
Vito M. R. Muggeo · Statistics in Medicine · 2003 · 2.3K citations
PIECEWISE REGRESSION: A TOOL FOR IDENTIFYING ECOLOGICAL THRESHOLDS
Judith D. Toms, Mary Lesperance · Ecology · 2003 · 1K citations
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Dalle Molle Institute for Artificial Intelligence Research, Switzerland
4 publications · 122 citations
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809
Harvard University
Cambridge, United States
9 h-index
17 publications
1.8K citations
University College London
London, United Kingdom
8 h-index
19 publications
1.4K citations
King's College London
London, United Kingdom
8 h-index
16 publications
1K citations

Peking University
Beijing, China
7 h-index
28 publications
2.1K citations

Sichuan University
Chengdu, China
6 h-index
23 publications
1.6K citations

University of British Columbia
Vancouver, Canada
6 h-index
12 publications
350 citations
University of Michigan
Ann Arbor, United States
6 h-index
10 publications
904 citations

Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, China
5 h-index
12 publications
425 citations
1–8 of 809
15 publications · 482 citations
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10 publications · 738 citations
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7 publications · 235 citations
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6 publications · 2.4K citations
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5 publications · 251 citations
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