On the universal consistency of a least squares spline regression estimator

zbMath0884.62044MaRDI QIDQ1376539

Michael Kohler

Publication date: 18 December 1997

Published in: Mathematical Methods of Statistics (Search for Journal in Brave)

zbMATH Keywords

rate of convergencepolynomial splinesnonparametric regressionuniversal consistencyintegrated squared errorleast squares spline regression estimator

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (6)

Nonlinear orthogonal series estimates for random design regression ⋮ Strong universal consistency of smooth kernel regression estimates ⋮ Nonparametric regression function estimation using interaction least squares splines and complexity regularization. ⋮ Universally consistent regression function estimation using hierarchical \(B\)-splines ⋮ On the strong universal consistency of local averaging regression estimates ⋮ Prediction from randomly right censored data

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