Rates of convergence for nonparametric deconvolution

By Claire Lacour. 2006

51 citations recorded by the source corpus.

Abstract This note presents original rates of convergence for the deconvolution problem. We assume that both the estimated density and noise density are supersmooth and we compute the risk for two kinds of estimators. To cite this article: C. Lacour, C. R. Acad. Sci. Paris, Ser. I 342 (2006).

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f83354856ba798cca847459c788c215b55847308

Citations in the corpus

• Adaptive estimation of linear functionals in the convolution model and applications (2009, unknown): “For explicit formulae for the rates, see Lacour [22].”