Deconvolution Problems in Nonparametric Statistics
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- Synopsis
- 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.
- Copyright:
- 2009
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783540875574
- Related ISBNs:
- 9783540875567
- Publisher:
- Springer Berlin Heidelberg
- Date of Addition:
- 07/15/13
- Copyrighted By:
- Springer Berlin Heidelberg
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.