Data sharpening methods in multivariate local quadratic regression

DOI10.1016/J.JMVA.2011.09.004zbMath1274.62303OpenAlexW2016079468MaRDI QIDQ764494

Song Jiang, Xiaoying Wang, Jun-ping Yin

Publication date: 13 March 2012

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

Full work available at URL: https://doi.org/10.1016/j.jmva.2011.09.004

zbMATH Keywords

bandwidth matrixmultivariate nonparametric regressionasymptotic conditional bias and variancedata sharpening methodsfitting precisionlocal quadratic estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Uses Software

• KernSmooth

Cites Work

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• Bandwidth selection for a data sharpening estimator in nonparametric regression
• Variable bandwidth and local linear regression smoothers
• Multivariate locally weighted least squares regression
• Data sharpening methods for bias reduction in nonparametric regression.
• Nonlinear time series. Nonparametric and parametric methods
• Local linear regression smoothers and their minimax efficiencies
• Design-adaptive Nonparametric Regression
• On bias reduction in local linear smoothing
• Nonparametric Regression Analysis of Longitudinal Data
• Miscellanea. Data sharpening as a prelude to density estimation

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