Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF)

Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF)

Single-index models are potentially important tools for multivariate non-parametric regression analysis. They generalize linear regression models by replacing the linear combination <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><...

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Bibliographic Details
Main Authors: Mohamed Alahiane, Idir Ouassou, Mustapha Rachdi, Philippe Vieu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Stats
Subjects:
asymptotic normality
functional data analysis (FDA)
polynomial splines
quasi-likelihood
semi-parametric regression
single-index model
Online Access:https://www.mdpi.com/2571-905X/4/4/47

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https://www.mdpi.com/2571-905X/4/4/47

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