Robust Spline Regression is a statistical regression method that belongs to the class of nonparametric regression techniques and is distinguished by its integration of spline basis functions with robust estimation procedures to mitigate the influence of outliers and model structural breaks in the presence of nonlinearity.
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Publications
8K
Citations
98
Authors
58
Institutions
Publications per year
2017–2026
9
Parents
Publications
33
N4ITK: Improved N3 Bias Correction
Nicholas J. Tustison, Brian Avants, Philip A. Cook et al. · IEEE Transactions on Medical Imaging · 2010 · 6.4K citations
Medicine, Neuroscience, Radiology +16
Asymptotics for $M$-Type Smoothing Splines
Dennis D. Cox · The Annals of Statistics · 1983 · 157 citations · Full text
1–5 of 33
Authors
98
- KY
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h-index
- CP
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- PA
2
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- AÖ
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- BA
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1–5 of 98
Institutions
58
University of New Hampshire
Durham, United States
2 h-index
5 publications
202 citations
University of Maine
Orono, United States
2 h-index
6 publications
457 citations
Poznań University of Technology
Poznan, Poland
1 h-index
1 publications
35 citations
Protagen (Germany)
Dortmund, Germany
1 h-index
3 publications
63 citations
University of Bergen
Bergen, Norway
1 h-index
4 publications
76 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
18 citations
UNICEF East Asia and Pacific Regional Office
Bangkok, Thailand
1 h-index
3 publications
264 citations
University of York
York, United Kingdom
1 h-index
1 publications
34 citations
1–8 of 58
Venues
- Communication in Statistics- Theory and Methods
2 publications · 59 citations
2
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- PLoS ONE
1 publications · 19 citations
1
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- Natural Hazards
1 publications · 42 citations
1
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- Mathematics and Computers in Simulation
1 publications · 10 citations
1
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- European Journal of Operational Research
1 publications · 47 citations
1
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