Local polynomial regression with correlated errors in random design and unknown correlation structure-Reference-Cited by-同舟云学术

Local polynomial regression with correlated errors in random design and unknown correlation structure

Published:2018-06-06 Issue:3 Volume:105 Page:681-690
ISSN:0006-3444
Container-title:Biometrika
language:en
Short-container-title:

Author:

De Brabanter K¹,Cao F¹,Gijbels I²,Opsomer J³

Affiliation:

1. Department of Statistics, Iowa State University, 2419 Snedecor Hall, Ames, Iowa 50011, U.S.A

2. Department of Mathematics, Katholieke Universiteit Leuven, Celestijnenlaan 200B, B-3001 Leuven, Belgium

3. Department of Statistics, Colorado State University, Fort Collins, Colorado 80523, U.S.A

Funder

Research Fund of the Katholieke Universiteit Leuven

Interuniversity Attraction Poles Research Network

Belgian Science Policy

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Link

http://academic.oup.com/biomet/article-pdf/105/3/681/25470033/asy025.pdf

Reference18 articles.

1. Kernel smoothing of data with correlated errors.;Altman;J. Am. Statist. Assoc.,1990

2. Comparison of two bandwidth selectors with dependent errors.;Chu;Ann. Statist.,1991

3. On spline smoothing with correlated errors.;Diggle;Aust. J. Statist.,1989

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust and Efficient derivative estimation under correlated errors;Journal of the Korean Statistical Society;2023-11-18

2. Nonparametric derivative estimation with bimodal kernels under correlated errors;Computational Statistics;2023-10-09

3. Generalized kernel regularized least squares estimator with parametric error covariance;Empirical Economics;2023-04-06

4. Kernel regression for estimating regression function and its derivatives with unknown error correlations;Metrika;2023-02-22

5. The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling;Technometrics;2022-05-16