Bandwidth selection for a data sharpening estimator in nonparametric regression

DOI10.1016/J.JMVA.2008.12.016zbMath1162.62339OpenAlexW2060565696MaRDI QIDQ1021846

Masahiro Yoshizaki, Kanta Naito

Publication date: 9 June 2009

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2008.12.016

zbMATH Keywords

bias reductionbandwidthkernelnonparametric regressionplug-in methoddata sharpening

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20)

Related Items (2)

Data sharpening on unknown manifold ⋮ Data sharpening methods in multivariate local quadratic regression

Uses Software

• KernSmooth

Cites Work

• A multiplicative bias reduction method for nonparametric regression
• Multivariate locally weighted least squares regression
• Data sharpening methods for bias reduction in nonparametric regression.
• Smoothing methods in statistics
• An Effective Bandwidth Selector for Local Least Squares Regression
• On variance estimation in nonparametric regression
• Design-adaptive Nonparametric Regression
• On bias reduction in local linear smoothing
• A simple bias reduction method for density estimation
• Multivariate Bandwidth Selection for Local Linear Regression
• Miscellanea. Data sharpening as a prelude to density estimation
• On a certain class of nonparametric density estimators with reduced bias
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