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Research Article

Uniform-in-bandwidth consistency results in the partially linear additive model components estimation

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Pages 3383-3424 | Received 19 Aug 2022, Accepted 27 Nov 2022, Published online: 12 Dec 2022
 

Abstract

We are mainly concerned with the partially linear additive model defined for a measurable function ψ:RqR, by

ψ(Yi):=Yi=Ziβ+l=1dml(Xl,i)+εi   for 1in,

where Zi=(Z1,i,,Zp,i) and Xi=(X1,i,,Xi,d) are vectors of explanatory variables, β=(β1,,βp) is a vector of unknown parameters, m1,,md are unknown univariate real functions, and ε1,,εn are independent random errors with mean zero, finite variances σε and E(ε|X,Z)=0 a.s. Under some mild conditions, we present a sharp uniform-in-bandwidth limit law for the nonlinear additive components of the model estimated by the marginal integration device with the kernel method. We allow the bandwidth to varying within the complete range for which the estimator is consistent. We provide the almost sure simultaneous asymptotic confidence bands for the regression functions.

AMS SUBJECT CLASSIFICATIONS:

Acknowledgments

The author would like to thank the Editor-in-Chief, an Associate-Editor, and two referees for their extremely helpful remarks, which resulted in a substantial improvement of the original form of the work and a presentation that was more sharply focused.

CRediT author statement

Khalid Chokri: Conceptualization, Methodology, Investigation, Writing – Original Draft, Writing – Review & Editing.

Salim Bouzebda: Conceptualization, Methodology, Investigation, Writing – Original Draft, Writing – Review & Editing.

Both authors contributed equally to this work.

Disclosure statement

No potential conflict of interest was reported by the authors.

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