A bias corrected nonparametric regression estimator

DOI10.1016/j.spl.2011.10.006zbMath1408.62079OpenAlexW1990028291MaRDI QIDQ419220

Weixin Yao

Publication date: 18 May 2012

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2097/13830

zbMATH Keywords

bias reductionnonparametric regressionlocal linear regressionnonlinear smoother

Mathematics Subject Classification ID

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

Related Items (3)

Methodology for nonparametric bias reduction in kernel regression estimation ⋮ Tuning selection for two-scale kernel density estimators ⋮ Local linear estimate of the functional expectile regression

Uses Software

• KernSmooth

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A multiplicative bias reduction method for nonparametric regression
• Multivariate locally weighted least squares regression
• On bandwidth variation in kernel estimates. A square root law
• Data sharpening methods for bias reduction in nonparametric regression.
• An Effective Bandwidth Selector for Local Least Squares Regression
• On the bias of variable bandwidth curve estimators
• Smooth optimum kernel estimators near endpoints
• Design-adaptive Nonparametric Regression
• Variable Kernel Estimates of Multivariate Densities
• Simple Transformation Techniques for Improved Non‐parametric Regression
• An Improved Estimator of the Density Function at the Boundary
• A simple bias reduction method for density estimation
• A Likelihood-Tuned Density Estimator Via a Nonparametric Mixture Model
• Boosting kernel density estimates: A bias reduction technique?

This page was built for publication: A bias corrected nonparametric regression estimator