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The Oxford Handbook of Applied Bayesian Analysis

The Oxford Handbook of Applied Bayesian Analysis

9780199548903
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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 & SocialSciences; 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.
Product Details
OUP Oxford
83825
9780199548903
9780199548903

Data sheet

Publication date
2010
Issue number
1
Cover
hard cover
Pages count
924
Dimensions (mm)
182 x 254
Weight (g)
1589
  • Preface; Part I - Biomedical & Health Sciences; Flexible Bayes Regression of Epidemiologic Data; Bayesian Modelling for Matching and Alignment of Biomolecules; Bayesian Approaches to Aspects of the Vioxx Trials: Non-ignorable Dropout and Sequential Meta-Analysis; Sensitivity Analysis in Microbial Risk Assessment: Vero-cytotoxigenic E.coli O157 in Farm-Pasteurised Milk; Mapping Malaria in the Amazon Rain Forest: a Spatio-Temporal Mixture Model; Trans-Study Projection of Genomic Biomarkers in Analysis of Oncogene Deregulation and Breast Cancer; Linking Systems Biology Models to Data: a Stochastic Kinetic Model of p53 Oscillations; Part II - Industry, Economics & Finance; Bayesian Analysis and Decisions in Nuclear Power Plant Maintenance; Bayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments; Bayesian Modelling of Train Doors Reliability; Analysis of Economic Data With Multiscale Spatio-temporal Models; Extracting S&P500 and NASDAQ Volatility: The Credit Crisis of 2007-2008; Futures Markets, Bayesian Forecasting, and Risk Modeling; The New Macroeconometrics: A Bayesian Approach; Part III - Environment & Ecology; Assessing The Probability of Rare Climate Events; Models for Demography of Plant Populations; Combining Monitoring Data and Computer Model Output in Assessing Environmental Exposure; Indirect Elicitation From Ecological Experts: From Methods and Software to Habitat Modelling and Rock-Wallabies; Characterizing the Uncertainty of Climate Change Projections Using Hierarchical Models; Part IV - Policy, Political & Social Sciences; Volatility in Prediction Markets: A Measure of Information Flow in Political Campaigns; Paternity Testing Allowing for Uncertain Mutation Rates; Bayesian Analysis in Item Response Theory Applied to a Large-scale Educational Assessment; Sequential Multi-location Auditing and the New York Food Stamps Program; 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; Bayesian Statistical Methods for Audio and Music Processing; Combining Simulations and Physical Observations to Estimate Cosmological Parameters; Probabilistic Grammars and Hierarchical Dirichlet Processes; Designing and Analyzing a Circuit Device Experiment Using Treed Gaussian Processes; Multi-state Models for Mental Fatigue; Index;
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