K-Nearest Neighbor Estimation of Functional Nonparametric Regression Model under NA Samples

K-Nearest Neighbor Estimation of Functional Nonparametric Regression Model under NA Samples

Functional data, which provides information about curves, surfaces or anything else varying over a continuum, has become a commonly encountered type of data. The k-nearest neighbor (kNN) method, as a nonparametric method, has become one of the most popular supervised machine learning algorithms used...

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Bibliographic Details
Main Authors: Xueping Hu, Jingya Wang, Liuliu Wang, Keming Yu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Axioms
Subjects:
convergence rate
NA samples
functional data
nonparametric regression model
k-nearest neighbor estimator
Online Access:https://www.mdpi.com/2075-1680/11/3/102

Internet

https://www.mdpi.com/2075-1680/11/3/102

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