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The Oxford Handbook of Applied Bayesian Analysis

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Title: The Oxford Handbook of Applied Bayesian Analysis
Description: Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.
Authors: Anthony O' Hagan, Mike West
Resource Type: eBook.
Subjects: Bayesian statistical decision theory
Categories: MATHEMATICS / Probability & Statistics / Bayesian Analysis
Database: eBook Collection (EBSCOhost)
FullText Links:
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PubType: eBook
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  Data: The Oxford Handbook of Applied Bayesian Analysis
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  Data: Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.
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        Scheme: ddc
        Type: prePub
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      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Bayesian statistical decision theory
        Type: general
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      – TitleFull: The Oxford Handbook of Applied Bayesian Analysis
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            NameFull: Anthony O' Hagan
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            NameFull: Anthony O' Hagan
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            – D: 01
              M: 01
              Type: published
              Y: 2010
            – D: 04
              M: 02
              Type: profile
              Y: 2014
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