| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7548791 | Statistics & Probability Letters | 2018 | 7 Pages |
Abstract
This paper discusses the mean consistency of both theoretical and practical wavelet estimators under deconvolution model with heteroscedastic measurement errors. When the model degenerates to the classical deconvolution problem, our results coincide with Geng & Wang's theorem (2015).
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Xiaochen Zeng, Jinru Wang,