Title

Density Deconvolution Based On Wavelets With Bounded Supports

Keywords

Deconvolution; Thresholding; Wavelet

Abstract

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.

Publication Date

2-1-2002

Publication Title

Statistics and Probability Letters

Volume

56

Issue

3

Number of Pages

261-269

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/S0167-7152(01)00176-6

Socpus ID

0036474440 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0036474440

This document is currently not available here.

Share

COinS