Introduction to nonparametric estimation
Presents basic nonparametric regression and density estimators and analyzes their properties. This book covers minimax lower bounds, and develops advanced topics such as: Pinsker's theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity.
| Uniform Title: | Introduction à l'estimation non-paramétrique. English |
|---|---|
| Main Author: | Tsybakov, A. B. |
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English French |
| Published: |
New York :
Springer,
©2009.
New York : [2009] |
| Physical Description: |
1 online resource (xii, 214 pages) : illustrations. |
| Edition: | English ed. |
| Series: |
Springer series in statistics.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |