Shape-constrained Estimation
Shape-Constrained Estimation is a nonparametric statistical method that restricts the estimated function to satisfy prespecified shape properties such as monotonicity, convexity, or concavity, thereby combining flexibility in functional form with economically or scientifically justified structural constraints.
88
Publications
4.4K
Citations
187
Authors
126
Institutions
Publications per year
2017–2026
30
Variants
Shape-restricted Estimation
88
Shape constrained additive models
Natalya Pya, Simon N. Wood · Statistics and Computing · 2014 · 313 citations · Full text
Ceres’ evolution and present state constrained by shape data
Julie Castillo‐Rogez, T. B. McCord · Icarus · 2009 · 209 citations
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University of California, Berkeley, United States
3 publications · 107 citations
3
h-index
1–5 of 187
126
Texas A&M University
College Station, United States
5 h-index
7 publications
185 citations
University of California, Berkeley
Berkeley, United States
4 h-index
7 publications
251 citations
Colorado State University
Fort Collins, United States
4 h-index
4 publications
245 citations
University of Michigan
Ann Arbor, United States
4 h-index
5 publications
106 citations
Columbia University
New York, United States
4 h-index
5 publications
209 citations
Northwestern University
Evanston, United States
4 h-index
4 publications
158 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
3 publications
96 citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
5 publications
151 citations
1–8 of 126
6 publications · 615 citations
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6 publications · 360 citations
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4 publications · 136 citations
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4 publications · 169 citations
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3 publications · 455 citations
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