Varying kernel density estimation on
β Scribed by Robert Mnatsakanov; Khachatur Sarkisian
- Book ID
- 116890504
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 433 KB
- Volume
- 82
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this paper, we consider the estimation problem of f(0), the value of density f at the left endpoint 0. Nonparametric estimation of f( 0) is rather formidable due to boundary e ects that occur in nonparametric curve estimation. It is well known that the usual kernel density estimates require modiΓΏ
## Abstract This article describes a multipleβbandwidth version of the kernel estimator for nonparametric probability density estimation, in which the bandwidths are chosen using a set of functions, called filter functions, which determine the support of the density appropriate to the different ban