Wavelet density deconvolution estimations with heteroscedastic measurement errors

Xiaochen Zeng and Jinru Wang

Statistics & Probability Letters, 2018, vol. 134, issue C, 79-85

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).

Keywords: Density estimation; Wavelets; Consistency; Heteroscedastic errors (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1016/j.spl.2017.10.016

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