电邮这篇文章 Almost everywhere convergence of a wavelet thresholding risk estimate in a model with correlated noise
- 作者: Shestakov O.V.1,2
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隶属关系:
- Department of Computational Mathematics and Cybernetics
- Institute of Informatics Problems
- 期: 卷 40, 编号 3 (2016)
- 页面: 114-117
- 栏目: Article
- URL: https://journals.rcsi.science/0278-6419/article/view/176139
- DOI: https://doi.org/10.3103/S0278641916030055
- ID: 176139
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详细
The problem of estimating a function in a model with correlated noise by thresholding its wavelet decomposition coefficients is considered. The risk estimate using this approach is shown to be strongly consistent.
作者简介
O. Shestakov
Department of Computational Mathematics and Cybernetics; Institute of Informatics Problems
编辑信件的主要联系方式.
Email: oshestakov@cs.msu.su
俄罗斯联邦, Moscow; Moscow
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