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Abstract：
To obtain Lp risk convergence rate, for a kind of density which has noise data, the linear wavelet estimator is constructed. In particular, when r≥p, the linear wavelets estimator is simple and the convergence rate is better than nonlinear estimator. In addition, when the bias function g(x)≡1, the model is the case which has no noise, and the convergence rate is optimal and generalizes the result which was gotten.
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Journal of Beijing University of Technology
ISSN： 0254-0037
Year： 2013
Issue： 11
Volume： 39
Page： 1752-1755
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SCOPUS Cited Count：
ESI Highly Cited Papers on the List： 0 Unfold All
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30 Days PV： 9
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