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Uniform in the smoothing parameter consistency results in functional regression
Conference proceeding

Uniform in the smoothing parameter consistency results in functional regression

Lydia Kara-Zaitri, Ali Laksaci, Mustapha Rachdi and Philippe Vieu
FUNCTIONAL STATISTICS AND RELATED FIELDS, pp.161-167
Contributions to Statistics
01/01/2017
DOI: https://doi.org/10.1007/978-3-319-55846-2_21

Abstract

Mathematics Physical Sciences Science & Technology Statistics & Probability
This paper focuses on uniform in bandwidth and uniform in nearest neighbors consistencies of both kernel and kNN type estimators involving functional data. We established in previous works results in this topic for a selection of nonparametric conditional operators. Our interest here is to adapt that approach for studying the generalized nonparametric regression function.

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