Bayesian econometrics and forecasting

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Show simple item record Geweke, J 2011-02-07T06:25:46Z 2001-01
dc.identifier.citation Journal of Econometrics, 2001, 100 (1), pp. 11 - 15
dc.identifier.issn 0304-4076
dc.identifier.other C1UNSUBMIT en_US
dc.description.abstract Contemporary Bayesian forecasting methods draw on foundations in subjective probability and preferences laid down in the mid-twentieth century, and utilize numerical methods developed since that time in their implementation. These methods unify the tasks of forecasting and model evaluation. They also provide tractable solutions for problems that prove difficult when approached using non-Bayesian methods. These advantages arise from the fact that the conditioning in Bayesian probability forecasting is the same as the conditioning in the underlying decision problems. © 2001 Elsevier Science S.A. All rights reserved.
dc.language eng
dc.relation.isbasedon 10.1016/S0304-4076(00)00046-4
dc.title Bayesian econometrics and forecasting
dc.type Journal Article
dc.parent Journal of Econometrics
dc.journal.volume 1
dc.journal.volume 100
dc.journal.number 1 en_US
dc.publocation Amsterdam en_US
dc.publocation Piscataway, USA
dc.identifier.startpage 11 en_US
dc.identifier.endpage 15 en_US BUS.Faculty of Business en_US
dc.conference Verified OK en_US
dc.conference Australian Software Engineering Conference
dc.for 140303 Economic Models and Forecasting
dc.personcode 101228
dc.percentage 100 en_US Economic Models and Forecasting en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US 2005-03-29
dc.location.activity en_US
dc.location.activity Brisbane, Australia
pubs.embargo.period Not known
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
utslib.copyright.status Closed Access 2015-04-15 12:17:09.805752+10
pubs.consider-herdc false
utslib.collection.history Economics (ID: 372)
utslib.collection.history Closed (ID: 3)

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