Semiparametric Functional Modeling
Semiparametric Functional Modeling is a functional regression framework that combines parametric and nonparametric components by modeling the relationship between functional covariates and responses through a finite-dimensional parameter structure while allowing part of the model to remain unspecified and data-determined.
27
Publications
1.5K
Citations
69
Authors
46
Institutions
Publications per year
2017–2026
5
27
1–5 of 27
69
Institute of Statistical Science, Academia Sinica, Taiwan
2 publications · 156 citations
2
h-index
1
h-index
1
h-index
The University of Texas MD Anderson Cancer Center, United States
1 publications · 23 citations
1
h-index
1
h-index
1–5 of 69
46
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
32 citations

University of Leeds
Leeds, United Kingdom
2 h-index
2 publications
52 citations
Duke University
Durham, United States
2 h-index
2 publications
27 citations
Western Michigan University
Kalamazoo, United States
1 h-index
3 publications
36 citations

St James's University Hospital
Leeds, United Kingdom
1 h-index
1 publications
41 citations

University of York
York, United Kingdom
1 h-index
1 publications
11 citations

Australian National University
Canberra, Australia
1 h-index
2 publications
70 citations
National Health Research Institutes
Hsinchu, Taiwan
1 h-index
1 publications
89 citations
1–8 of 46
3 publications · 56 citations
3
h-index
2 publications · 391 citations
2
h-index
2 publications · 223 citations
2
h-index
2 publications · 40 citations
2
h-index
1 publications · 30 citations
1
h-index
1–5