Density Deconvolution Based On Wavelets With Bounded Supports
Deconvolution; Thresholding; Wavelet
Under the assumption that both convolution densities, g and q, have finite degrees of smoothness, we construct a nonlinear wavelet estimator of the unknown density g based on wavelets with bounded supports. We show that this estimator provides local adaptivity to the unknown smoothness of g and, hence, performs better than the estimator based on Meyer-type wavelets if g has irregular behavior. © 2002 Elsevier Science B.V. All rights reserved.
Statistics and Probability Letters
Number of Pages
Source API URL
Pensky, Marianna, "Density Deconvolution Based On Wavelets With Bounded Supports" (2002). Scopus Export 2000s. 2637.