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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.

Stochastic processes --- Image processing --- Markov random fields --- Monte Carlo method --- Monte-Carlo, Méthode de --- Statistical methods --- beeldanalyse --- Probabilities. --- Optical data processing. --- Numerical analysis. --- Computer simulation. --- Radiology. --- Statistics . --- Probability Theory and Stochastic Processes. --- Image Processing and Computer Vision. --- Numerical Analysis. --- Simulation and Modeling. --- Imaging / Radiology. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Radiological physics --- Physics --- Radiation --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Mathematical analysis --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Optical equipment --- Image processing - Statistical methods

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