Estimating the accuracy of (local) cross-validation via randomised GCV choices in kernel or smoothing spline regression

DOI10.1080/10485250903095820zbMath1182.62081OpenAlexW1968068530MaRDI QIDQ5189259

Didier A. Girard

Publication date: 15 March 2010

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250903095820

zbMATH Keywords

bootstrapsmoothing splinekernel regressionnonparametric regressiongeneralised cross-validation\(C_L\) criterionrandomised trace

Mathematics Subject Classification ID

Related Items (2)

On the excess of average squared error for data-driven bandwidths in nonparametric trend estimation ⋮ Practical use of robust GCV and modified GCV for spline smoothing

Uses Software

• gss

Cites Work

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