Sulla regolarizzazione mediante la «Generalized cross validation»: Una appliczione al caso dei polinomi ortogonali
From MaRDI portal
Publication:3799077
DOI10.1007/BF02924854zbMath0653.41019OpenAlexW2074428312MaRDI QIDQ3799077
Sebastiano Seatzu, Marco Frontini
Publication date: 1984
Published in: Rendiconti del Seminario Matematico e Fisico di Milano (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02924854
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Smoothing by spline functions. II
- Sur le choix du paramètre d'ajustement dans le lissage par fonctions spline
- Error bounds for derivative estimates based on spline smoothing of exact or noisy data
- Integrated mean squared error of a smoothing spline
- Oscillation matrices with spline smoothing
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Smoothing by spline functions.
- Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
- Optimal Smoothing of Noisy Data Using Spline Functions
- A completely automatic french curve: fitting spline functions by cross validation
- Periodic splines for spectral density estimation: the use of cross validation for determining the degree of smoothing
- SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION
- Some Comments on C P
- Smoothing noisy data with spline functions
This page was built for publication: Sulla regolarizzazione mediante la «Generalized cross validation»: Una appliczione al caso dei polinomi ortogonali