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Technical Deconvolution Problems in Nonparametric Statistics

Posted on 2010-04-14




Name:Technical Deconvolution Problems in Nonparametric Statistics
ASIN/ISBN:3540875565
Publish Date:2009
Pages:210 pages
File size:1.6 Mb
Publish Date: 2009
ISBN: 3540875565
Pages: 210 pages
File Type: PDF
File Size: 1,6 MB
Other Info: Springer
   Technical Deconvolution Problems in Nonparametric Statistics

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Alexander Meister, "Deconvolution Problems in Nonparametric Statistics"

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.

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