On minimax convergence rates under Lp-risk for the anisotropic functional deconvolution model

Rida Benhaddou

Statistics & Probability Letters, 2017, vol. 130, issue C, 120-125

Abstract: We look into minimax results for the anisotropic functional deconvolution model under the Lp-risk, 1≤p<∞. We construct lower bounds and show that the wavelet hard-thresholding estimator is asymptotically near-optimal in the Lp-risk.

Keywords: Anisotropic functional deconvolution; Besov space; Minimax convergence rate (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:130:y:2017:i:c:p:120-125

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DOI: 10.1016/j.spl.2017.07.008

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