Statistical Computing in Nuclear Imaging
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| Title: | Statistical Computing in Nuclear Imaging |
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| Description: | 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. |
| Authors: | Arkadiusz Sitek |
| Resource Type: | eBook. |
| Subjects: | Medical statistics--Data processing, Radioisotope scanning, Magnetic resonance imaging--Technological innovations, Magnetic resonance imaging--Statistical methods |
| Categories: | MEDICAL / Radiology, Radiotherapy & Nuclear Medicine, MATHEMATICS / Probability & Statistics / Bayesian Analysis |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | 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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| ISBN: | 9781439849347 9780367783631 9781498729307 9780429091544 9781040055939 |
