Adaptive wavelet estimator for nonparametric density deconvolutionReport as inadecuate


Adaptive wavelet estimator for nonparametric density deconvolution


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The problem of estimating a density g based on a sample X ₁ X ₂,…,X subscript n from p = q ∗ g is considered. Linear and nonlinear wavelet estimators based on Meyer-type wavelets are constructed. The estimators are asymptotically optimal and adaptive if g belongs to the Sobolev space Hsuperscript α.Moreover, the estimators considered in this paper adjust automatically to the situation when g is supersmooth.



Department of Biomedical Engineering Faculty Publications -



Author: Pensky, Marianna - Vidakovic, Brani - -

Source: https://smartech.gatech.edu/







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