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dc.contributor.authorTian, Xiang
dc.date.accessioned2017-12-06T00:19:09Z
dc.date.available2017-12-06T00:19:09Z
dc.date.issued2017-06
dc.identifier.urihttp://hdl.handle.net/11122/8021
dc.descriptionMaster's Project (M.S.) University of Alaska Fairbanks, 2017en_US
dc.description.abstractGDP plays an important role in people's lives. For example, when GDP increases, the unemployment rate will frequently decrease. In this project, we will use four different Bayesian variable selection methods to verify economic theory regarding important predictors to GDP. The four methods are: g-prior variable selection with credible intervals, local empirical Bayes with credible intervals, variable selection by indicator function, and hyper-g prior variable selection. Also, we will use four measures to compare the results of the various Bayesian variable selection methods: AIC, BIC, Adjusted-R squared and cross-validation.en_US
dc.language.isoen_USen_US
dc.subjectGross domestic producten_US
dc.subjectEconometric modelsen_US
dc.subjectBayesian statistical decision theoryen_US
dc.titleAn application of Bayesian variable selection to international economic dataen_US
dc.typeOtheren_US
dc.type.degreems
dc.identifier.departmentDepartment of Mathematics and Statistics
dc.contributor.chairGoddard, Scott
dc.contributor.committeeBarry, Ron
dc.contributor.committeeShort, Margaret
dc.contributor.committeeMcIntyre, Julie
refterms.dateFOA2020-03-05T15:21:27Z


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