Statistical Computing in Nuclear Imaging

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Bibliographic Details
Title: Statistical Computing in Nuclear Imaging
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)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1728794
RelevancyScore: 1064
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1063.91076660156
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Items – Name: Title
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  Data: Statistical Computing in Nuclear Imaging
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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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  Data: <searchLink fieldCode="AR" term="%22Arkadiusz+Sitek%22">Arkadiusz Sitek</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Medical+statistics--Data+processing%22">Medical statistics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Radioisotope+scanning%22">Radioisotope scanning</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging--Technological+innovations%22">Magnetic resonance imaging--Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging--Statistical+methods%22">Magnetic resonance imaging--Statistical methods</searchLink>
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  Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Radiology%2C+Radiotherapy+%26+Nuclear+Medicine%22">MEDICAL / Radiology, Radiotherapy & Nuclear Medicine</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+Bayesian+Analysis%22">MATHEMATICS / Probability & Statistics / Bayesian Analysis</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 616.075480285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Medical statistics--Data processing
        Type: general
      – SubjectFull: Radioisotope scanning
        Type: general
      – SubjectFull: Magnetic resonance imaging--Technological innovations
        Type: general
      – SubjectFull: Magnetic resonance imaging--Statistical methods
        Type: general
    Titles:
      – TitleFull: Statistical Computing in Nuclear Imaging
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Arkadiusz Sitek
      – PersonEntity:
          Name:
            NameFull: Arkadiusz Sitek
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2015
            – D: 14
              M: 03
              Type: profile
              Y: 2018
          Identifiers:
            – Type: isbn-print
              Value: 9781439849347
            – Type: isbn-print
              Value: 9780367783631
            – Type: isbn-electronic
              Value: 9781498729307
            – Type: isbn-electronic
              Value: 9780429091544
            – Type: isbn-electronic
              Value: 9781040055939
          Titles:
            – TitleFull: Statistical Computing in Nuclear Imaging
              Type: main
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