✦ LIBER ✦

Nonparametric regression using linear combinations of basis functions

✍ Scribed by Robert Kohn; Michael Smith; David Chan

Book ID: 110305266
Publisher: Springer US
Year: 2001
Tongue: English
Weight: 256 KB
Volume: 11
Category: Article
ISSN: 0960-3174
DOI: 10.1023/a:1011916902934

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Nonparametric regression estimation by n

Nonparametric regression estimation by normalized radial basis function networks

✍ Krzyzak, A.; Schafer, D. 📂 Article 📅 2005 🏛 IEEE 🌐 English ⚖ 256 KB

Representation of Polynomials by Linear

Representation of Polynomials by Linear Combinations of Radial Basis Functions

✍ Maiorov, V. E. 📂 Article 📅 2013 🏛 Springer 🌐 English ⚖ 458 KB

Testing the hypothesis of a generalized

Testing the hypothesis of a generalized linear regression model using nonparametric regression estimation

✍ M.Celia Rodríguez-Campos; Wenceslao González-Manteiga; Ricardo Cao 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 891 KB

Nonparametric estimation of piecewise sm

Nonparametric estimation of piecewise smooth regression functions

✍ Michael Kohler 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 99 KB

Estimation of univariate regression functions from bounded i.i.d. data is considered. Estimates are deÿned by minimizing a complexity penalized residual sum of squares over all piecewise polynomials. The integrated squared error of these estimates achieves for piecewise p-smooth regression functions

Nonparametric regression analysis of unc

Nonparametric regression analysis of uncertain and imprecise data using belief functions

✍ Simon Petit-Renaud; Thierry Denœux 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 391 KB

Nonparametric estimation of a regression

Nonparametric estimation of a regression function

✍ Kuang-Fu Cheng; Pi-Erh Lin 📂 Article 📅 1981 🏛 Springer 🌐 English ⚖ 447 KB