# Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one

Abstract : This paper deals with the estimation of a probability measure on the real line from data observed with an additive noise. We are interested in rates of convergence for the Wasserstein metric of order $p\geq 1$. The distribution of the errors is assumed to be known and to belong to a class of supersmooth or ordinary smooth distributions. We obtain in the univariate situation an improved upper bound in the ordinary smooth case and less restrictive conditions for the existing bound in the supersmooth one. In the ordinary smooth case, a lower bound is also provided, and numerical experiments illustrating the rates of convergence are presented.
Keywords :
Type de document :
Pré-publication, Document de travail
MAP5 2014-11. 2014
Domaine :

http://hal.upmc.fr/hal-00971316
Contributeur : Bertrand Michel <>
Soumis le : mardi 3 mars 2015 - 22:00:18
Dernière modification le : jeudi 11 janvier 2018 - 06:19:45
Document(s) archivé(s) le : samedi 12 septembre 2015 - 22:25:18

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WassersteinRev1.pdf
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### Identifiants

• HAL Id : hal-00971316, version 2
• ARXIV : 1404.0646

### Citation

Jérôme Dedecker, Aurélie Fischer, Bertrand Michel. Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one. MAP5 2014-11. 2014. 〈hal-00971316v2〉

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