Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Applied Mathematical Sciences (AMS, volume 160)
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Table of contents (7 chapters)
Keywords
About this book
Reviews
From the reviews:
"The book is devoted to the development of the statistical approach to inverse problems … . The content is written clearly and without citations in the main text. Every chapter has a section called ‘Notes and comments’ where the citations and further reading, as well as brief comments on more advanced topics, are provided. The book is aimed at postgraduate students … . The book also will be of interest for many researchers and scientists working in the area of image processing." (Tzvetan Semerdjiev, Zentralblatt MATH, Vol. 1068, 2005)
"Inverse problems are usually ill-posed in the sense that a solution need not exist, need not be unique, and depends in a discontinuous way on the data … . there have been two quite separate communities dealing with such problems, one basing their methods mainly on functional analysis, the other one on statistics. … several attempts have been made to bridge the gap between these two groups. The book under review … is a further, quite successful attempt in this direction." (Heinz W. Engel, SIAM Review, Vol. 48 (1), 2006)
Authors and Affiliations
Bibliographic Information
Book Title: Statistical and Computational Inverse Problems
Authors: Jari P. Kaipio, Erkki Somersalo
Series Title: Applied Mathematical Sciences
DOI: https://doi.org/10.1007/b138659
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2005
Hardcover ISBN: 978-0-387-22073-4Published: 01 December 2004
Softcover ISBN: 978-1-4419-1964-9Published: 29 November 2010
eBook ISBN: 978-0-387-27132-3Published: 30 March 2006
Series ISSN: 0066-5452
Series E-ISSN: 2196-968X
Edition Number: 1
Number of Pages: XVI, 340
Topics: Probability Theory and Stochastic Processes, Analysis, Computational Mathematics and Numerical Analysis, Theoretical, Mathematical and Computational Physics, Complexity, Biomedical Engineering and Bioengineering