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Statistics
A Journal of Theoretical and Applied Statistics
Volume 44, 2010 - Issue 4
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Original Articles

Bandwidth selection for kernel regression with correlated errors

Young Kyung Lee Department of Statistics, Kangwon National University, Chuncheon, 200-701, Korea
,
Enno Mammen Department of Economics, University of Mannheim, Mannheim, 68131, Germany
&
Byeong U. Park Department of Statistics, Seoul National University, Seoul, 151-747, KoreaCorrespondence[email protected]
Pages 327-340 | Received 05 Mar 2007, Accepted 16 May 2008, Published online: 22 Jul 2009

Citations (6)

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Zhanshou Chen & Zheng Tian. (2014) Ratio tests for variance change in nonparametric regression. Statistics 48:1, pages 1-16.
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Articles from other publishers (5)

Marianne Abémgnigni Njifon & Dominic Schuhmacher. (2024) Graph convolutional networks for spatial interpolation of correlated data. Spatial Statistics 60, pages 100822.
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Qi Zheng, Yunwei Cui & Rongning Wu. (2023) On estimation of nonparametric regression models with autoregressive and moving average errors. Annals of the Institute of Statistical Mathematics 76:2, pages 235-262.
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Tatyana Krivobokova, Paulo Serra, Francisco Rosales & Karolina Klockmann. (2022) Joint non-parametric estimation of mean and auto-covariances for Gaussian processes. Computational Statistics & Data Analysis 173, pages 107519.
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Laura Fee Schneider, Andrea Krajina & Tatyana Krivobokova. (2021) Threshold selection in univariate extreme value analysis. Extremes 24:4, pages 881-913.
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K De Brabanter, F Cao, I Gijbels & J Opsomer. (2018) Local polynomial regression with correlated errors in random design and unknown correlation structure. Biometrika 105:3, pages 681-690.
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