• 72,99 €

Description de l’éditeur

This book gives an introduction to deconvolution problems in nonparametric statistics, e.g. density estimation based on contaminated data, errors-in-variables regression, and image reconstruction. Some real-life applications are discussed while we mainly focus on methodology (description of the estimation procedures) and theory (minimax convergence rates with rigorous proofs and adaptive smoothing parameter selection). In general, we have tried to present the proofs in such manner that only a low level of previous knowledge is needed. An appendix chapter on further results of Fourier analysis is also provided.

GENRE
Science et nature
SORTIE
2009
24 décembre
LANGUE
EN
Anglais
LONGUEUR
216
Pages
ÉDITEUR
Springer Berlin Heidelberg
TAILLE
4.1
Mo