Least Squares Parameter Estimation for Sparse Functional Varying Coefficient Model
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Least Squares Parameter Estimation for Sparse Functional Varying Coefficient Model ; volume:16 ; number:3 ; day:1 ; month:9 ; year:2017 ; pages:337-344 ; date:9.2017
Journal of Statistical Theory and Applications ; 16, Heft 3 (1.9.2017), 337-344, 9.2017
- Creator
-
Mostafaiy, Behdad
Faridrohani, Mohammad Reza
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.2991/jsta.2017.16.3.5
- URN
-
urn:nbn:de:101:1-2024040912120630639554
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:49 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mostafaiy, Behdad
- Faridrohani, Mohammad Reza
- SpringerLink (Online service)
Other Objects (12)
Multivariate factorisable sparse asymmetric least squares regression
Multivariate Factorisable Sparse Asymmetric Least Squares Regression
On the convergence rate of sparse grid least squares regression
Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters
Approximating sparse Hessian matrices using large-scale linear least squares
Least trimmed squares
Least Trimmed Squares
Partitioned least squares
Least-squares collocation
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids
Locally sparse and robust partial least squares in scalar-on-function regression
Resurrecting weighted least squares
Multivariate factorisable sparse asymmetric least squares regression
Multivariate Factorisable Sparse Asymmetric Least Squares Regression
On the convergence rate of sparse grid least squares regression
Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters
Approximating sparse Hessian matrices using large-scale linear least squares
Least trimmed squares
Least Trimmed Squares
Partitioned least squares
Least-squares collocation
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids
Locally sparse and robust partial least squares in scalar-on-function regression
Resurrecting weighted least squares
Multivariate factorisable sparse asymmetric least squares regression
Multivariate Factorisable Sparse Asymmetric Least Squares Regression
On the convergence rate of sparse grid least squares regression
Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters
Approximating sparse Hessian matrices using large-scale linear least squares
Least trimmed squares
Least Trimmed Squares
Partitioned least squares
Least-squares collocation
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids
Locally sparse and robust partial least squares in scalar-on-function regression