Statistical and computational inverse problems /

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Bibliographic Details
Author / Creator:Kaipio, Jari.
Imprint:New York : Springer, c2005.
Description:1 online resource (xvi, 339 p.) : ill.
Language:English
Series:Applied mathematical sciences ; v. 160
Applied mathematical sciences (Springer-Verlag New York Inc.) ; v. 160.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8874592
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Other authors / contributors:Somersalo, Erkki.
ISBN:0387220739 (acid-free paper)
9780387220734 (acid-free paper)
0387271325 (electronic bk.)
9780387271323 (electronic bk.)
9786610263127
6610263124
Notes:"April 1, 2004."
Includes bibliographical references (p. [329]-335) and index.
Summary:"The book develops the statistical approach to inverse problems with an emphasis on modeling and computations. The framework is the Bayesian paradigm, where all variables are modeled as random variables, the randomness reflecting the degree of belief of their values, and the solution of the inverse problem is expressed in terms of probability densities. The book discusses in detail the construction of prior models, the measurement noise modeling and Bayesian estimation. Markov Chain Monte Carlo-methods as well as optimization methods are employed to explore the probability distributions. The results and techniques are clarified with classroom examples that are often non-trivial but easy to follow. Besides the simple examples, the book contains previously unpublished research material, where the statistical approach is developed further to treat such problems as discretization errors, and statistical model reduction. Furthermore, the techniques are then applied to a number of real world applications such as limited angle tomography, image deblurring, electrical impedance tomography and biomagnetic inverse problems. The book is intended for researchers and advanced students in applied mathematics, computational physics and engineering. The first part of the book can be used as a text book for courses on advanced inverse problems."--Jacket.
Other form:Print version: Kaipio, Jari. Statistical and computational inverse problems. New York : Springer, c2005 0387220739