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|a UAMI
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|a The Oxford handbook of applied Bayesian analysis /
|c edited by Anthony O'Hagan, Mike West.
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|a Applied Bayesian analysis
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|a Oxford ;
|a New York :
|b Oxford University Press,
|c 2010.
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|a 1 online resource (xxxiv, 889 pages) :
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|a Includes bibliographical references and index.
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|a Flexible bayes regression of epidemiologic data / David B. Dunson -- Bayesian modeling and alignment of biomolecules / Peter J. Green [and others] -- Bayesian approaches to aspects of the Vioxx trials: non-ignorable dropout and sequential meta-analysis / Jerry Cheng and David Madigan -- Sensitivity analysis in microbial risk assessment: vero-cytotoxigenic E. coli O157 in farm-pasteurized milk / Jeremy E. Oakley and Helen E. Clough -- Mapping malaria in the Amazon rain forest: a spatio-temporal mixture model / Alexandra M. Schmidt [and others] -- Trans-study projection of genomic biomarkers in analysis of oncogene deregulation and breast cancer / Dan Merl [and others] -- Linking systems biology models to data: a stochastic kinetic model of p53 oscillations / Daniel A. Henderson [and others] -- Paternity testing allowing for uncertain mutation rates / A. Philip Dawid, Julia Mortera and Paola Vicard -- Bayesian analysis and decisions in nuclear power plant maintenance / Elimira Popova [and others] -- Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments / Jonathan A. Cumming and Michael Goldstein -- Bayesian modelling of train door reliability / Antonio Pievatolo and Fabrizio Ruggeri -- Analysis of economic data with multiscale spatio-temporal models / Marco A.R. Ferreira, Adelmo I. Bertolde and Scott H. Holan -- Extracting S & P500 and NASDAQ volatility: the credit crisis of 2007-2008 / Hedibert F. Lopes and Nicholas G. Polson -- Futures markets, Bayesian forecasting and risk modeling / José M. Quintana [and others] -- The new macroeconometrics: a Bayesian approach / Jesús Fernández-Villaverde, Pablo Guerrón-Quintana and Juan F. Rubio-Ramirez -- Assessing the probability of rare climate events / Peter Challenor, Doug McNeall and James Gattiker -- Models for demography of plant populations / James S. Clark [and others] -- Combining monitoring data and computer model output in assessing environmental exposure / Alan E. Gelfand and Sujit K. Sahu -- Indirect elicitation from ecological experts: from methods and software to habitat modeling and rock-wallabies / Samantha Low Choy [and others] -- Characterizing the uncertainty of climate change projections using hierarchical models / Claudia Tebaldi and Richard L. Smith -- Volatility in prediction markets: a measure of information flow in political campaigns / Carlos M. Carvalho and Jill Rickershauser -- Bayesian analysis in item response theory applied to a large-scale educational assessment / Dani Gamerman, Tufi M. Soares and Flávio B. Gonçalves -- Sequential multilocation auditing and the New York stamps program / Karl W. Heiner, Marc C. Kennedy and Anthony O'Hagan -- Bayesian causal inference: approaches to estimating the effect of treating hospital type on cancer survival in Sweden using principal stratification / Donald B. Rubin [and others] -- Bayesian statistical methods for audio and music processing / A. Taylan Cemgil [and others] -- Combining simulations and physical observations to estimate cosmological parameters / Dave Higdon [and others] -- Probabilistic grammars and hierarchical dirichlet processes / Percy Liang, Michael I. Jordan and Dan Klein -- Designing and analyzing a circuit device experiment using treed Gaussian processes / Herbert K.H. Lee [and others] -- Multistate models for mental fatigue / Raquel Prado.
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|a "Exploring 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 Handbook is grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finances; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences. Appendices concluding each chapter draw out key concepts, models, and techniques that are also of broader pedagogic and applied interest." "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 teachers and students in a wide variety of fields and aims to inspire researchers to venture further into these exciting and challenging application areas."--Jacket
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Bayesian statistical decision theory.
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650 |
1 |
2 |
|a Bayes Theorem
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650 |
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|a Data Interpretation, Statistical
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650 |
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|a Théorie de la décision bayésienne.
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650 |
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|a Théorème de Bayes.
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650 |
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|a MATHEMATICS
|x Probability & Statistics
|x Bayesian Analysis.
|2 bisacsh
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650 |
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|a Bayesian statistical decision theory.
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|a O'Hagan, Anthony,
|e editor.
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700 |
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|a West, Mike,
|d 1959-
|e editor.
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|i Print version:
|t Oxford handbook of applied Bayesian analysis.
|d Oxford ; New York : Oxford University Press, 2010
|z 9780199548903
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