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Statistical Computing in Nuclear Imaging : Series in Medical Physics and Biomedical Engineering - Arkadiusz Sitek

Statistical Computing in Nuclear Imaging

By: Arkadiusz Sitek

eText | 17 December 2014 | Edition Number 1

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This book is highly focused on computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements in nuclear imaging. Basic Bayesian statistical concepts, elements of Bayesian decision theory, and counting statistics are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications. The final chapter includes illustrative examples of statistical computing based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks, and Bayesian decision making and hypothesis testing.

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Published: 31st March 2021

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