The Oxford Handbook of Applied Bayesian Analysis

Front Cover
Anthony O' Hagan, Mike West
OUP Oxford, Mar 18, 2010 - Mathematics - 924 pages
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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List of Contributors
PART IBiomedical and Health Sciences
1Flexible Bayes regression of epidemiologic data
2Bayesian modelling for matching and alignment of biomolecules
Nonignorable dropout and sequential metaanalysis
Verocytotoxigenic E coli O157 in farmpasteurized milk
A spatiotemporal mixture model
PART IIIEnvironment and Ecology
16Assessing the probability of rare climate events
17Models for demography of plant populations
18Combining monitoring data and computer model output in assessing environmental exposure
From methods and software to habitat modelling and rockwallabies
20Characterizing the uncertainty of climate change projections using hierarchical models
PART IVPolicy Political and Social Sciences
A measure of information flow in political campaigns

6Transstudy projection of genomic biomarkers in analysis of oncogene deregulation and breast cancer
Astochastic kinetic model of p53 oscillations
8Paternity testing allowing for uncertain mutation rates
PART IIIndustry Economics and Finance
9Bayesian analysis and decisions in nuclear power plant maintenance
10Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments
11Bayesian modelling of train door reliability
12Analysis of economic data with multiscale spatiotemporal models
The credit crisis of 20072008
14Futures markets Bayesian forecasting and risk modelling
A Bayesian approach
22Bayesian analysis in item response theory applied to a largescale educational assessment
23Sequential multilocation auditing and the New York food stamps program
Approaches to estimating the effect of treating hospital type on cancer survival in Sweden using principal stratification
PART VNatural and Engineering Sciences
25Bayesian statistical methods for audio and music processing
26Combining simulations and physical observations to estimate cosmological parameters
27Probabilistic grammars and hierarchical Dirichlet processes
28Designing and analysing a circuit device experiment using treed Gaussian processes
29Multistate models for mental fatigue

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About the author (2010)

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.