Uniform almost sure convergence rate of wavelet estimator for regression model with mixed noise
Junke Kou,
Qinmei Huang and
Hao Zhang
Communications in Statistics - Theory and Methods, 2024, vol. 53, issue 13, 4805-4818
Abstract:
This article considers a non parametric estimation problem in a regression model with mixed noise. A wavelet estimator is proposed by using projection of wavelet coefficients estimators. Uniform almost sure convergence rate of this wavelet estimator is derived under some mild conditions. It should be pointed out that the convergence rate of the wavelet estimator coincides with the optimal strong uniform convergence rate of non parametric estimations. Finally, simulation studies illustrate the good performances of the wavelet estimator.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:53:y:2024:i:13:p:4805-4818
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DOI: 10.1080/03610926.2023.2195032
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