Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model
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Publication:1951121
DOI10.1214/13-EJS776zbMath1337.62069arXiv1202.6316OpenAlexW2029916954MaRDI QIDQ1951121
Fabien Navarro, Christophe Chesneau, Taoufik Sassi, Jalal Fadili
Publication date: 29 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1202.6316
Asymptotic properties of parametric estimators (62F12) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40)
Related Items (3)
Optimal wavelet estimators of the heteroscedastic pointspread effects and Gauss white noises model ⋮ Wavelet estimation of function derivatives from a multichannel deconvolution model ⋮ Multichannel deconvolution with long-range dependence: a minimax study
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