A Note on Wavelet Estimation of the Derivatives of a Regression Function in a Random Design Setting
Author
Source
International Journal of Mathematics and Mathematical Sciences
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We investigate the estimation of the derivatives of a regression function in the nonparametric regression model with random design.
New wavelet estimators are developed.
Their performances are evaluated via the mean integrated squared error.
Fast rates of convergence are obtained for a wide class of unknown functions.
American Psychological Association (APA)
Chesneau, Christophe. 2014. A Note on Wavelet Estimation of the Derivatives of a Regression Function in a Random Design Setting. International Journal of Mathematics and Mathematical Sciences،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-453628
Modern Language Association (MLA)
Chesneau, Christophe. A Note on Wavelet Estimation of the Derivatives of a Regression Function in a Random Design Setting. International Journal of Mathematics and Mathematical Sciences No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-453628
American Medical Association (AMA)
Chesneau, Christophe. A Note on Wavelet Estimation of the Derivatives of a Regression Function in a Random Design Setting. International Journal of Mathematics and Mathematical Sciences. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-453628
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453628
