Applications of kernel regression estimation:survey
β Scribed by Cheng, Philip E.
- Book ID
- 121235463
- Publisher
- Taylor and Francis Group
- Year
- 1990
- Tongue
- English
- Weight
- 734 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0361-0926
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