Smoothing Noisy Data with Spline Functions. Estimating the Correct Degree of Smoothing by the Method of Generalized Cross-Validation.

G. Wahba; P. Craven

Numerische Mathematik (1978/79)

  • Volume: 31, page 377-404
  • ISSN: 0029-599X; 0945-3245/e

How to cite

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Wahba, G., and Craven, P.. "Smoothing Noisy Data with Spline Functions. Estimating the Correct Degree of Smoothing by the Method of Generalized Cross-Validation.." Numerische Mathematik 31 (1978/79): 377-404. <http://eudml.org/doc/132586>.

@article{Wahba1978/79,
author = {Wahba, G., Craven, P.},
journal = {Numerische Mathematik},
pages = {377-404},
title = {Smoothing Noisy Data with Spline Functions. Estimating the Correct Degree of Smoothing by the Method of Generalized Cross-Validation.},
url = {http://eudml.org/doc/132586},
volume = {31},
year = {1978/79},
}

TY - JOUR
AU - Wahba, G.
AU - Craven, P.
TI - Smoothing Noisy Data with Spline Functions. Estimating the Correct Degree of Smoothing by the Method of Generalized Cross-Validation.
JO - Numerische Mathematik
PY - 1978/79
VL - 31
SP - 377
EP - 404
UR - http://eudml.org/doc/132586
ER -

Citations in EuDML Documents

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  1. Pierre-André Cornillon, N. W. Hengartner, E. Matzner-Løber, Recursive bias estimation for multivariate regression smoothers
  2. P. Besse, L. Ferre, Sur l'usage de la validation croisée en analyse en composantes principales
  3. Salim Ibrir, Sette Diop, A numerical procedure for filtering and efficient high-order signal differentiation
  4. Didier Girard, Practical optimal regularization of large linear systems
  5. Philippe Besse, Approximation spline de l'analyse en composantes principales d'une variable aléatoire hilbertienne
  6. Jiří Hřebíček, František Šik, Vítězslav Veselý, Discrete smoothing splines and digital filtration. Theory and applications
  7. D. Apprato, R. Arcangeli, R. Manzanilla, Sur la construction de surfaces de classe C k à partir d’un grand nombre de données de Lagrange
  8. Stéphane Boucheron, Olivier Bousquet, Gábor Lugosi, Theory of classification : a survey of some recent advances
  9. Stéphane Boucheron, Olivier Bousquet, Gábor Lugosi, Theory of Classification: a Survey of Some Recent Advances
  10. Philippe Besse, Christine Thomas-Agnan, Le lissage par fonctions splines en statistique, revue bibliographique

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