Single index regression for locally stationary functional time series

In this research, we formulated an asymptotic theory for single index regression applied to locally stationary functional time series. Our approach involved introducing estimators featuring a regression function that exhibited smooth temporal changes. We rigorously established the uniform convergenc...

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Bibliographic Details
Main Authors:	Breix Michael Agua, Salim Bouzebda
Format:	Article
Language:	English
Published:	AIMS Press 2024-12-01
Series:	AIMS Mathematics
Subjects:	convergence rates exponential inequality kernel regression functional time series locally stationary process single index model functional data analysis
Online Access:	https://www.aimspress.com/article/doi/10.3934/math.20241719
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Single index regression for locally stationary functional time series

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