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Author:   Anthony O' Hagan (Emeritus Professor, Emeritus Professor, Department of Probability and Statistics, University of Sheffield, UK) ,  Mike West (Professor of Statistical Science, Professor of Statistical Science, Duke University, USA)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 17.20cm , Height: 4.50cm , Length: 24.50cm
Weight:   1.374kg
ISBN:  

9780198703174

ISBN 10:   0198703171
Pages:   928
Publication Date:   10 October 2013
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Preface Part I - Biomedical & Health Sciences 1: David Dunson: Flexible Bayes Regression of Epidemiologic Data 2: Peter Green, Kanti Mardia, Vysaul Nyirongo & Yann Ruffieux: Bayesian Modelling for Matching and Alignment of Biomolecules 3: Jerry Cheng & David Madigan: Bayesian Approaches to Aspects of the Vioxx Trials: Non-ignorable Dropout and Sequential Meta-Analysis 4: Jeremy Oakley & 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 & Pedro Paulo Vieira: Mapping Malaria in the Amazon Rain Forest: a Spatio-Temporal Mixture Model 6: Dan Merl, Joseph Lucas, Joseph Nevins, Haige Shenz & 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 & D.J. Wilkinson: Linking Systems Biology Models to Data: a Stochastic Kinetic Model of p53 Oscillations Part II - Industry, Economics & Finance 8: Elmira Popova, David Morton, Paul Damien & Tim Hanson: Bayesian Analysis and Decisions in Nuclear Power Plant Maintenance 9: Jonathan Cumming & Michael Goldstein: Bayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments 10: Antonio Pievatolo & Fabrizio Ruggeri: Bayesian Modelling of Train Doors Reliability 11: Marco Ferreira, Adelmo Bertoldey & Scott Holan: Analysis of Economic Data With Multiscale Spatio-temporal Models 12: Hedibert Lopes & Nicholas Polson: Extracting S&P500 and NASDAQ Volatility: The Credit Crisis of 2007-2008 13: José Mario Quintana, Carlos Carvalho, James Scott & Thomas Costigliola: Futures Markets, Bayesian Forecasting, and Risk Modeling 14: Jesús Fernández-Villaverde, Pablo Guerrón-Quintana & Juan Rubio-Ramírez: The New Macroeconometrics: A Bayesian Approach Part III - Environment & Ecology 15: Peter Challenor, Doug McNeall & 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 & Mike Wolosin: Models for Demography of Plant Populations 17: Alan Gelfand & Sujit K. Sahu: Combining Monitoring Data and Computer Model Output in Assessing Environmental Exposure 18: Samantha Low Choy, Justine Murray, Allan James & Kerrie Mengersen: Indirect Elicitation From Ecological Experts: From Methods and Software to Habitat Modelling and Rock-Wallabies 19: Claudia Tebaldi & Richard Smith: Characterizing the Uncertainty of Climate Change Projections Using Hierarchical Models Part IV - Policy, Political & Social Sciences 20: Carlos Carvalho & Jill Rickershauser: Volatility in Prediction Markets: A Measure of Information Flow in Political Campaigns 21: Philip Dawid, Julia Mortera & Paola Vicard: Paternity Testing Allowing for Uncertain Mutation Rates 22: Dani Gamerman, Tufi Soares & Flávio Gonçalves: Bayesian Analysis in Item Response Theory Applied to a Large-scale Educational Assessment 23: Karl Heiner, Marc Kennedy & Anthony O'Hagan: Sequential Multi-location Auditing and the New York Food Stamps Program 24: Donald Rubin, Xiaoqin Wang, Li Yin & Elizabeth Zell: Bayesian Causal Inference: Approaches to Estimating the Effect of Treating Hospital Type on Cancer Survival in Sweden Using Principal Stratification Part V - Natural & Engineering Sciences 25: A. Taylan Cemgil, Simon Godsill, Paul Peeling & Nick Whiteley: Bayesian Statistical Methods for Audio and Music Processing 26: Dave Higdon, Katrin Heitmann, Charles Nakhleh & Salman Habib: Combining Simulations and Physical Observations to Estimate Cosmological Parameters 27: Percy Liang, Michael Jordan & Dan Klein: Probabilistic Grammars and Hierarchical Dirichlet Processes 28: Herbert Lee, Matthew Taddy, Robert Gramacy & Genetha Gray: Designing and Analyzing a Circuit Device Experiment Using Treed Gaussian Processes 29: Raquel Prado: Multi-state Models for Mental Fatigue Index

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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.

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