Kernel estimation of discontinuous regression functions
β Scribed by Kee-Hoon Kang; Ja-Yong Koo; Cheol-Woo Park
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 92 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Let (X, Y ) be an R d \_R-valued regression pair, where X has a density and Y is bounded. If n i.i.d. samples are drawn from this distribution, the Nadaraya Watson kernel regression estimate in R d with Hilbert kernel K(x)=1Γ&x& d is shown to converge weakly for all such regression pairs. We also sh
We consider the problem of estimating a class of smooth functions defined everywhere on a real line utilizing nonparametric kernel regression estimators. Such functions have an interpretation as signals and are common in communication theory. Furthermore, they have finite energy, bounded frequency c