Modification of the adaptive Nadaraya-Watson kernel method for nonparametric regression (simulation study)

DOI10.1080/03610918.2019.1652319OpenAlexW2967734088WikidataQ127366269 ScholiaQ127366269MaRDI QIDQ5082822

Taha Hussein Ali

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1652319

zbMATH Keywords

nonparametric regressionbandwidth parameterNW kernel estimator

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Asymptotic normality of Nadaraya–Waton kernel regression estimation for mixing high-frequency data ⋮ Estimation of the bandwidth parameter in Nadaraya-Watson kernel non-parametric regression based on universal threshold level

Uses Software

• KernSmooth

Cites Work

• On bandwidth variation in kernel estimates. A square root law
• Nonparametric and semiparametric models.
• Consistency and robustness of kernel-based regression in convex risk minimization
• Local composite quantile regression smoothing for Harris recurrent Markov processes
• Biased and Unbiased Cross-Validation in Density Estimation
• An oracle property of the Nadaraya–Watson kernel estimator for high‐dimensional nonparametric regression
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