Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohamed Alahiane"'
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2649 (2024)
In this paper, we have introduced a functional approach for approximating nonparametric functions and coefficients in the presence of multivariate and functional predictors. By utilizing the Fisher scoring algorithm and the cross-validation technique
Externí odkaz:
https://doaj.org/article/88f96d07007e4c2e97a01cd3975dda12
Publikováno v:
Stats, Vol 4, Iss 4, Pp 793-813 (2021)
Single-index models are potentially important tools for multivariate non-parametric regression analysis. They generalize linear regression models by replacing the linear combination α0⊤X with a non-parametric component η0α0⊤X, where η0(·) is
Externí odkaz:
https://doaj.org/article/4c7cddbfc5ae4f03aec6d205c19391af
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2704 (2022)
We study the non-parametric estimation of partially linear generalized single-index functional models, where the systematic component of the model has a flexible functional semi-parametric form with a general link function. We suggest an efficient an
Externí odkaz:
https://doaj.org/article/bee6f3b5324749d395465d53b4c727f4
Publikováno v:
Communications in Statistics - Theory and Methods. 52:4659-4674
We develop new estimation results for the functional relationship between a regressor and a response which are functions indexed by time or by spatial locations. The regressor is assumed to belong ...
Publikováno v:
Stats, Vol 4, Iss 47, Pp 793-813 (2021)
Stats
Volume 4
Issue 4
Pages 47-813
Stats
Volume 4
Issue 4
Pages 47-813
Single-index models are potentially important tools for multivariate non-parametric regression analysis. They generalize linear regression models by replacing the linear combination α0⊤X with a non-parametric component η0α0⊤X, where η0(·) is
Publikováno v:
Functional and High-Dimensional Statistics and Related Fields ISBN: 9783030477554
Single-index models are potentially important tools for multivariate nonparametric regression analysis. They generalize linear regression models by replacing the linear combination \(\alpha^T_0\) with a nonparametric component \(\eta_0({\alpha^T_0})X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::942bbc161c2191d17a65eb2d1fd4cb5e
https://doi.org/10.1007/978-3-030-47756-1_29
https://doi.org/10.1007/978-3-030-47756-1_29