Nonparametric regression for functional response and functional regressor under dependance

DOI10.1016/J.CRMA.2012.07.014zbMath1336.62115OpenAlexW2000320820MaRDI QIDQ456639

Amel Tadj, Ali Laksaci, Philippe Vieu, Frédéric Ferraty

Publication date: 16 October 2012

Published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.crma.2012.07.014

zbMATH Keywords

almost complete convergencekernel estimate of regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)

Related Items (4)

Local linear regression modelization when all variables are curves ⋮ Local linear estimation of the regression function with Hilbertian variables ⋮ Convergence rate of kernel regression estimation for time series data when both response and covariate are functional ⋮ A consistent estimator of the smoothing operator in the functional Hodrick–Prescott filter

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Regression when both response and predictor are functions
• Uniform consistency of a class of regression function estimators for Banach-space valued random variables
• Nonparametric prediction of a Hilbert space valued random variable
• Linear processes in function spaces. Theory and applications
• Approximation and exponential inequalities for sums of dependent random vectors
• Applied functional data analysis. Methods and case studies
• Geometric absolute regularity of Banach space-valued autoregressive processes.
• Kernel regression with functional response
• Nonparametric functional data analysis. Theory and practice.

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