A note on mse coverage intervals in a partial spline model

DOI10.1080/03610928708829477zbMath0625.62030OpenAlexW1981132228MaRDI QIDQ3028096

Jyh-Jen Horng Shiau

Publication date: 1987

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

Full work available at URL: https://doi.org/10.1080/03610928708829477

zbMATH Keywords

mean square errorinterval estimationdiscontinuitiesreproducing kernel Hilbert spacecoverage intervalpartial spline modelgeneralized cross-validated smoothing spline estimation

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Nonparametric estimation (62G05) Inference from stochastic processes (62M99)

Related Items (6)

Testing for change points in partially linear models ⋮ Rates of convergence of some estimators for a semiparametric model ⋮ Estimation of the number of jumps of the jump regression functions ⋮ Asymptotic bias and variance of a kernel-based estimator for the location of a discontinuity ⋮ A jump-detecting procedure based on spline estimation ⋮ Jump detection in time series nonparametric regression models: a polynomial spline approach

Uses Software

• IMSL Numerical Libraries

Cites Work

• From Stein's unbiased risk estimates to the method of generalized cross- validation
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Some results on Tchebycheffian spline functions and stochastic processes
• Smoothness Priors and Nonlinear Regression

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