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Applications of Mathematics: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Volume 27)

Applications of Mathematics: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Volume 27)

Applications of Mathematics: Image Analysis, Random Fields and Markov Chain
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Applications of Mathematics: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Volume 27) Hardback - 2003

by Winkler, G

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Description

Springer, 2003. Volume 27. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9783540442134
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Details

  • Title Applications of Mathematics: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Volume 27)
  • Author Winkler, G
  • Binding Hardback
  • Edition 2nd
  • Pages 387
  • Volumes 1
  • Language ENG
  • Publisher Springer, Secaucus, New Jersey, U.S.A.
  • Publication date 2003
  • Illustrated Yes
  • Features Bibliography, Illustrated
  • Bookseller's Inventory # 8662702
  • ISBN 9783540442134 / 3540442138
  • Weight 1.7 lbs (0.77 kg)
  • Dimensions 9.4 x 6.44 x 1.1 in (23.88 x 16.36 x 2.79 cm)
  • Category Computers - General Information
  • Library of Congress Catalogue Number 2002190825
  • Dewey Decimal Code 003.3

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Reader reviews for Applications of Mathematics: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Volume 27)

From the publisher

This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete applications. Addressed to students and scientists from mathematics, statistics, physics, engineering, and computer science, it will serve as an introduction to the mathematical aspects rather than a survey. Basically no prior knowledge of mathematics or statistics is required.
The second edition is in many parts completely rewritten and improved, and most figures are new. The topics of exact sampling and global optimization of likelihood functions have been added.

First line

This text deals with digital image analysis, probabilistic modelling and statistical inference.
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