Bayesian inference and posterior simulators

Geweke, J

Bayesian inference and posterior simulators

Geweke, J

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Publication Type:: Journal Article
Citation:: Canadian Journal of Agricultural Economics, 2001, 49 (3), pp. 313 - 325
Issue Date:: 2001-01-01

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Field	Value	Language
dc.contributor.author	Geweke, J	en_US
dc.date.issued	2001-01-01	en_US
dc.identifier.citation	Canadian Journal of Agricultural Economics, 2001, 49 (3), pp. 313 - 325	en_US
dc.identifier.issn	0008-3976	en_US
dc.identifier.uri	http://hdl.handle.net/10453/13951
dc.description.abstract	Recent advances in simulation methods have made possible the systematic application of Bayesian methods to support decision making with econometric models. This paper outlines the key elements of Bayesian investigation, and the simulation methods applied to bring them to bear in application.	en_US
dc.relation.ispartof	Canadian Journal of Agricultural Economics	en_US
dc.relation.isbasedon	10.1111/j.1744-7976.2001.tb00308.x	en_US
dc.subject.classification	Agricultural Economics & Policy	en_US
dc.title	Bayesian inference and posterior simulators	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	49	en_US
utslib.for	140302 Econometric and Statistical Methods	en_US
utslib.for	1402 Applied Economics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Economics Discipline
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	49	en_US

Abstract:

Recent advances in simulation methods have made possible the systematic application of Bayesian methods to support decision making with econometric models. This paper outlines the key elements of Bayesian investigation, and the simulation methods applied to bring them to bear in application.

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http://hdl.handle.net/10453/13951