电邮这篇文章 Fast Algorithm for Choosing Kernel Function Blur Coefficients in a Nonparametric Probability Density Estimate
- 作者: Lapko A.1,2, Lapko V.1,2
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隶属关系:
- Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences
- Reshetnev Siberian State University of Science and Technology
- 期: 卷 61, 编号 6 (2018)
- 页面: 540-545
- 栏目: Article
- URL: https://journals.rcsi.science/0543-1972/article/view/246502
- DOI: https://doi.org/10.1007/s11018-018-1463-9
- ID: 246502
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详细
A fast algorithm for choosing the blurring coefficients of kernel functions for a nonparametric probability density estimate is proposed, and its properties are investigated. The technique of interval estimation of the standard deviation of the nonparametric statistics under consideration is considered.
作者简介
A. Lapko
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences; Reshetnev Siberian State University of Science and Technology
编辑信件的主要联系方式.
Email: lapko@icm.krasn.ru
俄罗斯联邦, Krasnoyarsk; Krasnoyarsk
V. Lapko
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences; Reshetnev Siberian State University of Science and Technology
Email: lapko@icm.krasn.ru
俄罗斯联邦, Krasnoyarsk; Krasnoyarsk
