Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction, 2nd

Winkler, Gerhard

ISBN 10: 3642629113 / ISBN 13: 9783642629112

Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin, 2012

A propos de cet article

***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Trade paperback (US). 403 p. Stochastic Modelling and Applied Probability., 27. Audience: Professional and scholarly.

N° de réf. du vendeur K1890001072

Détails bibliographiques

• Titre: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction, 2nd
• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 3642629113
• ISBN à 13 chiffres: 9783642629112
• Reliure: Trade paperback
• Édition: 2nd ed. 2003. INTERNATIONAL EDITION
• État de l'article: New in new dust jacket.

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Synopsis

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.