Limit Theorems for Kernel Regression Estimator for Quasi-Associated Functional Censored Time Series Within Single Index Structure

Limit Theorems for Kernel Regression Estimator for Quasi-Associated Functional Censored Time Series Within Single Index Structure

In this paper, we develop kernel-based estimators for regression functions under a functional single-index model, applied to censored time series data. By capitalizing on the single-index structure, we reduce the dimensionality of the covariate-response relationship, thereby preserving the ability t...

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Bibliographic Details
Main Authors: Said Attaoui, Oum Elkheir Benouda, Salim Bouzebda, Ali Laksaci
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
kernel regression estimation
weak dependence data
quasi-associated variables
single functional index model
Online Access:https://www.mdpi.com/2227-7390/13/5/886
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