REGRESSION SMOOTHING PARAMETER SELECTION USING CROSS RESIDUALS SUM

DOI10.1081/STA-120017225zbMath1075.62547OpenAlexW1966595656MaRDI QIDQ4449098

Cheolyong Park, Tae Yoon Kim

Publication date: 4 February 2004

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-120017225

zbMATH Keywords

Smoothing parameterKernel regressionCross residual sumPoint of asymptotics

Mathematics Subject Classification ID

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

Cites Work

• Bandwidth choice for nonparametric regression
• Optimal bandwidth selection in nonparametric regression function estimation
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• A Flexible and Fast Method for Automatic Smoothing
• How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
• Regression Smoothing Parameters That Are Not Far From Their Optimum

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