A Family of Splines for Non-Parametric Regression. and their Relationships with Kriging

DOI10.1080/02331889008802264zbMath0714.62031OpenAlexW2072783100MaRDI QIDQ3200390

Christine Thomas-Agnan

Publication date: 1990

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889008802264

zbMATH Keywords

Fourier transformtempered distributionsgeneralized functionsnon-parametric regressionalpha-splinesextension of the theory of polynomial smoothing splinesincomplete and noisy observationskriging estimatespolynomial generalized covariancesmoothing splines estimates

Mathematics Subject Classification ID

Density estimation (62G07) Numerical smoothing, curve fitting (65D10) Asymptotic properties of nonparametric inference (62G20) Numerical interpolation (65D05)

Related Items (1)

Splines from a Bayesian point of view

Cites Work

• A general method for the construction of interpolating or smoothing spline-functions
• Some results on Tchebycheffian spline functions and stochastic processes
• Les espaces du type de Beppo Levi
• An Approach to Time Series Analysis
• Smoothing Periodic Curves by a Method of Regularization
• The intrinsic random functions and their applications
• A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines

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