The Oxford Handbook of Applied Bayesian Analysis
(Sprache: Englisch)
Bayesian Statistics is a dynamic and fast-growing area of statistical research with wide-ranging and far-reaching applications across science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of techniques and application areas.
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Bayesian Statistics is a dynamic and fast-growing area of statistical research with wide-ranging and far-reaching applications across science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of techniques and application areas.
Klappentext zu „The Oxford Handbook of Applied Bayesian Analysis “
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.
Inhaltsverzeichnis zu „The Oxford Handbook of Applied Bayesian Analysis “
- Preface
- Part I - Biomedical and Health Sciences
- 1: David Dunson: Flexible Bayes Regression of Epidemiologic Data
- 2: Peter Green, Kanti Mardia, Vysaul Nyirongo and Yann Ruffieux: Bayesian Modelling for Matching and Alignment of Biomolecules
- 3: Jerry Cheng and David Madigan: Bayesian Approaches to Aspects of the Vioxx Trials: Non-ignorable Dropout and Sequential Meta-Analysis
- 4: Jeremy Oakley and Helen Clough: Sensitivity Analysis in Microbial Risk Assessment: Vero-cytotoxigenic E.coli O157 in Farm-Pasteurised Milk
- 5: Alexandra Schmidt, Jennifer Hoeting, João Batista Pereira and Pedro Paulo Vieira: Mapping Malaria in the Amazon Rain Forest: a Spatio-Temporal Mixture Model
- 6: Dan Merl, Joseph Lucas, Joseph Nevins, Haige Shenz and Mike West: Trans-Study Projection of Genomic Biomarkers in Analysis of Oncogene Deregulation and Breast Cancer
- 7: D. A. Henderson, R.J. Boys, C.J. Proctor and D.J. Wilkinson: Linking Systems Biology Models to Data: a Stochastic Kinetic Model of p53 Oscillations
- Part II - Industry, Economics and Finance
- 8: Elmira Popova, David Morton, Paul Damien and Tim Hanson: Bayesian Analysis and Decisions in Nuclear Power Plant Maintenance
- 9: Jonathan Cumming and Michael Goldstein: Bayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments
- 10: Antonio Pievatolo and Fabrizio Ruggeri: Bayesian Modelling of Train Doors Reliability
- 11: Marco Ferreira, Adelmo Bertoldey and Scott Holan: Analysis of Economic Data With Multiscale Spatio-temporal Models
- 12: Hedibert Lopes and Nicholas Polson: Extracting SandP500 and NASDAQ Volatility: The Credit Crisis of 2007-2008
- 13: José Mario Quintana, Carlos Carvalho, James Scott and Thomas Costigliola: Futures Markets, Bayesian Forecasting, and Risk Modeling
... mehr
14: Jesús Fernández-Villaverde, Pablo Guerrón-Quintana and Juan Rubio-Ramírez: The New Macroeconometrics: A Bayesian Approach
Part III - Environment and Ecology
15: Peter Challenor, Doug McNeall and James Gattiker: Assessing The Probability of Rare Climate Events
16: James Clark, Dave Bell, Michael Dietze, Michelle Hersh, Ines Ibanez, Shannon LaDeau, Sean McMahon, Jessica Metcalf, Emily Moran, Luke Pangle and Mike Wolosin: Models for Demography of Plant Populations
17: Alan Gelfand and Sujit K. Sahu: Combining Monitoring Data and Computer Model Output in Assessing Environmental Exposure
18: Samantha Low Choy, Justine Murray, Allan James and Kerrie Mengersen: Indirect Elicitation From Ecological Experts: From Methods and Software to Habitat Modelling and Rock-Wallabies
19: Claudia Tebaldi and Richard Smith: Characterizing the Uncertainty of Climate Change Projections Using Hierarchical Models
Part IV - Policy, Political and Social Sciences
20: Carlos Carvalho and Jill Rickershauser: Volatility in Prediction Markets: A Measure of Information Flow in Political Campaigns
21: Philip Dawid, Julia Mortera and Paola Vicard: Paternity Testing Allowing for Uncertain Mutation Rates
22: Dani Gamerman, Tufi Soares and Flávio Gonçalves: Bayesian Analysis in Item Response Theory Applied to a La
... weniger
Autoren-Porträt
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.
Bibliographische Angaben
- 2013, 928 Seiten, Maße: 17,3 x 24,6 cm, Kartoniert (TB), Englisch
- Herausgegeben: Anthony O'Hagan, Mike West
- Verlag: Oxford University Press
- ISBN-10: 0198703171
- ISBN-13: 9780198703174
- Erscheinungsdatum: 22.10.2013
Sprache:
Englisch
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