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Show simple item record Geweke, John en_US Koop, G. en_US Van Dijk, H. en_US
dc.contributor.editor Geweke J, Koop G, van Dijk H en_US 2012-10-12T03:32:02Z 2012-10-12T03:32:02Z 2011 en_US
dc.identifier 2010006206 en_US
dc.identifier.citation Geweke John, Koop G., and Van Dijk H. 2011, 'Introduction', Oxford University Press, Oxford, pp. 1-8. en_US
dc.identifier.issn 978-0-19-955908-4 en_US
dc.identifier.other B1 en_US
dc.description.abstract Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology. en_US
dc.language en_US
dc.publisher Oxford University Press en_US
dc.relation.isbasedon en_US
dc.title Introduction en_US
dc.parent The Oxford Handbook of Bayesian Econometrics en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Oxford en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 8 en_US BUS.School of Finance and Economics en_US
dc.conference Verified OK en_US
dc.for 140300 en_US
dc.personcode 101228 en_US
dc.personcode 0000054286 en_US
dc.personcode 0000054288 en_US
dc.percentage 100 en_US Econometrics en_US
dc.classification.type FOR-08 en_US
dc.edition 1st en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords en_US

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