What happens when bootstrapping the smoothing spline

DOI10.1080/03610928708829570zbMath0647.62044OpenAlexW2061692072MaRDI QIDQ3792073

Chong Gu

Publication date: 1987

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

Full work available at URL: https://doi.org/10.1080/03610928708829570

zbMATH Keywords

kernel methodhigher order kernelsbootstrap bias correctionmean square prediction errornonparametric regressionsbest obtainable mean square error convergence ratesmoothing spline method

Mathematics Subject Classification ID

Nonparametric estimation (62G05) General nonlinear regression (62J02) Fourier coefficients, Fourier series of functions with special properties, special Fourier series (42A16)

Cites Work

• Smoothing splines: Regression, derivatives and deconvolution
• Spline smoothing: The equivalent variable kernel method
• A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
• Optimal global rates of convergence for nonparametric regression
• Improvement of Kernel Type Density Estimators
• On Bias Reduction in Estimation

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