Optimal rates of convergence for nonparametric regression estimation under anisotropic Hölder condition-Reference-Cited by-同舟云学术

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Optimal rates of convergence for nonparametric regression estimation under anisotropic Hölder condition

Published:2022-06-28 Issue: Volume: Page:1-13
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Guo Huijun¹,Kou Junke¹

Affiliation:

1. School of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin, Guangxi, P. R. China

Funder

National Natural Science Foundation of China

Guangxi Natural Science Foundation

Guangxi Science and Technology Project

Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2022.2091781

Reference14 articles.

1. Non-parametric regression estimation from data contaminated by a mixture of Berkson and classical errors

2. Measurement Error in Nonlinear Models

3. Adaptive wavelet multivariate regression with errors in variables

4. Nonparametric Regression with Errors in Variables

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