Spline-based Estimation
Spline-Based Estimation is a semiparametric modeling technique that uses piecewise polynomial functions, joined at specified knots, to flexibly estimate unknown functional forms while maintaining smoothness and continuity.
382
Publications
34.5K
Citations
743
Authors
392
Institutions
Publications per year
2017–2026
60
Parents
382
Ideal spatial adaptation by wavelet shrinkage
David L. Donoho, Iain M. Johnstone · Biometrika · 1994 · 7.8K citations
Ideal Spatial Adaptation by Wavelet Shrinkage
David L. Donoho, Iain M. Johnstone · Biometrika · 1994 · 2.5K citations
Linear Smoothers and Additive Models
Andreas Buja, Trevor Hastie, Robert Tibshirani · The Annals of Statistics · 1989 · 1K citations · Full text
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392
University of Wisconsin–Madison
Madison, United States
10 h-index
18 publications
1.5K citations
Texas A&M University
College Station, United States
9 h-index
17 publications
1.3K citations
Michigan State University
East Lansing, United States
8 h-index
14 publications
908 citations
Ludwig-Maximilians-Universität München
Munich, Germany
8 h-index
17 publications
376 citations

Cornell University
Ithaca, United States
8 h-index
15 publications
1.5K citations
Bielefeld University
Bielefeld, Germany
8 h-index
13 publications
321 citations
University of Michigan
Ann Arbor, United States
6 h-index
7 publications
209 citations
Colorado State University
Fort Collins, United States
6 h-index
7 publications
654 citations
1–8 of 392
26 publications · 3.3K citations
19
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18 publications · 11.9K citations
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15 publications · 794 citations
13
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CSDA · 11 publications · 290 citations
10
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10 publications · 707 citations
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