Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Applications of Mathematics, 27) (0387570691)

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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. This second edition comes with a CD-ROM by F. Friedrich,containing a host of (live) illustrations for each chapter. In an interactive environment, readers can perform their own experiments to consolidate the subject.

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	Monte Carlo and Quasi-Monte Carlo Methods 2004 Harald Niederreiter, Denis Talay “Monte Carlo and Quasi-Monte Carlo Methods 2004" Springer \| 2004 \| ISBN: 3540255419 \| 514 pages \| PDF \| 7 MB Rapid mirror
	Random Number Generation and Monte Carlo Methods (Reupload) James E. Gentle "Random Number Generation and Monte Carlo Methods" Springer \| 2004-09-14 \| ISBN: 0387001786 \| 264 pages \| PDF \| 1,8 MB Monte Carlo simulation has become one of the most important tools in all fields of science. Simulatio ...
	Science/Engineering Random Number Generation and Quasi-Monte Carlo Methods Harald Niederreiter "Random Number Generation and Quasi-Monte Carlo Methods"Society for Industrial Mathematics \| 1987-01-01 \| ISBN: 0898712955 \| 247 pages \| DJVU \| 1.7 MBTremendous progress has taken place in the related areas of uniform ps ...
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