Bayesian analysis for penalized spline regression using WinBUGS

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dc.contributor.author Crainiceanu, CM
dc.contributor.author Ruppert, D
dc.contributor.author Wand, M
dc.date.accessioned 2011-02-07T06:17:52Z
dc.date.issued 2005-01
dc.identifier.citation Journal of Statistical Software, 2005, 14 (14)
dc.identifier.issn 1548-7660
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/12995
dc.description.abstract Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression. Bayesian inference for nonparametric models enjoys the flexibility of nonparametric models and the exact inference provided by the Bayesian inferential machinery. This paper provides a simple, yet comprehensive, set of programs for the implementation of nonparametric Bayesian analysis in WinBUGS. Good mixing properties of the MCMC chains are obtained by using low-rank thin-plate splines, while simulation times per iteration are reduced employing WinBUGS specific computational tricks.
dc.publisher American Statistical Association
dc.title Bayesian analysis for penalized spline regression using WinBUGS
dc.type Journal Article
dc.parent Journal of Statistical Software
dc.journal.volume 14
dc.journal.volume 14
dc.journal.number 14 en_US
dc.publocation United States en_US
dc.identifier.startpage en_US
dc.identifier.endpage en_US
dc.cauo.name SCI.Mathematical Sciences en_US
dc.conference Verified OK en_US
dc.for 0104 Statistics
dc.personcode 110509
dc.percentage 100 en_US
dc.classification.name Statistics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords MCMC, semiparametric regression.
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc false
utslib.collection.history School of Mathematical Sciences (ID: 340)
utslib.collection.history School of Mathematical Sciences (ID: 340)
utslib.collection.history Closed (ID: 3)


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