|
Avtomatika i Telemekhanika, 2005, Issue 2, Pages 55–72
(Mi at1325)
|
|
|
|
This article is cited in 1 scientific paper (total in 1 paper)
Stochastic Systems
Accuracy of transformed kernel density estimates for a heavy-tailed distribution
N. M. Markovich Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Abstract:
Nonparametric estimation for the density of a heavy-tailed probability distribution is studied through transformation of initial observations. The accuracy of transformed kernel estimates with constant and variable window width in the sense of mean integrated squared error for different transformations is determined. Boundary kernel are designed for improving estimation on distribution tails. For a kernel estimate with variable window width, the mismatch method ensures a mean integrated squared estimation error close to the optimal error.
Citation:
N. M. Markovich, “Accuracy of transformed kernel density estimates for a heavy-tailed distribution”, Avtomat. i Telemekh., 2005, no. 2, 55–72; Autom. Remote Control, 66:2 (2005), 217–232
Linking options:
https://www.mathnet.ru/eng/at1325 https://www.mathnet.ru/eng/at/y2005/i2/p55
|
Statistics & downloads: |
Abstract page: | 162 | Full-text PDF : | 67 | References: | 29 | First page: | 1 |
|