
The Oxford Handbook of Applied Bayesian Analysis
Oxford University Press
Published on 10. October 2013
Book
Paperback/Softback
928 pages
978-0-19-870317-4 (ISBN)
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.
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.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Target group
College/higher education
Professional and scholarly
This Handbook will be of interest and use to statisticians and quantitative researchers requiring a broad overview of the applications of Bayesian Statistics, or those interested in solutions to specific problems. It will be a major reference source for students in a wide variety of fields and aims to inspire researchers to venture further into these exciting and challenging application areas.
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 244 mm
Width: 173 mm
Thickness: 46 mm
Weight
1361 gr
ISBN-13
978-0-19-870317-4 (9780198703174)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Anthony O' Hagan | Mike West
The Oxford Handbook of Applied Bayesian Analysis
Book
03/2010
Oxford University Press
€204.70
Shipment within 15-20 days
Persons
Anthony O'Hagan is internationally recognized for his research in the methodology and applications of Bayesian statistics. Following BSc and PhD degrees from the University of London, he taught at the Universities of Dundee and Warwick before becoming a full professor at the University of Nottingham and then the University of Sheffield. He has also spent two years working in the electricity industry. He has substantial applied expertise from applications in many fields, including engineering, health, environmental science and finance.
Mike West is an international research and educational leader in statistical science whose areas of expertise span a range of areas in Bayesian statistical modelling and computational statistics, and inter-disciplinary applications in science, biomedicine, finance and other areas. West was a faculty member at the leading Bayesian centre at Warwick University UK in the 1980s, and led the development of one of the main centres worldwide - at Duke
University -- during the 1990s and into the Bayesian 21st century. As distinguished professor of statistical science at Duke University, West is broadly engaged in national and international professional activities, his research continues to emphasise Bayesian methodology development and applications of complex stochastic modelling, while his major professional focus remains the engagement and mentoring of future statistical scientists.
Mike West is an international research and educational leader in statistical science whose areas of expertise span a range of areas in Bayesian statistical modelling and computational statistics, and inter-disciplinary applications in science, biomedicine, finance and other areas. West was a faculty member at the leading Bayesian centre at Warwick University UK in the 1980s, and led the development of one of the main centres worldwide - at Duke
University -- during the 1990s and into the Bayesian 21st century. As distinguished professor of statistical science at Duke University, West is broadly engaged in national and international professional activities, his research continues to emphasise Bayesian methodology development and applications of complex stochastic modelling, while his major professional focus remains the engagement and mentoring of future statistical scientists.
Editor
Emeritus ProfessorEmeritus Professor, Department of Probability and Statistics, University of Sheffield, UK
Professor of Statistical ScienceProfessor of Statistical Science, Duke University, USA
Content
PART I - BIOMEDICAL & HEALTH SCIENCES; PART II - INDUSTRY, ECONOMICS & FINANCE; PART III - ENVIRONMENT & ECOLOGY; PART IV - POLICY, POLITICAL & SOCIAL SCIENCES; PART V - NATURAL & ENGINEERING SCIENCES