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dc.contributor.authorAl Kadiri, M.
dc.contributor.authorCarroll, R.J.
dc.contributor.authorWand, M.P.
dc.date.accessioned2016-02-25T13:40:38Z
dc.date.available2016-02-25T13:40:38Z
dc.date.issued2010-08
dc.identifier.citationAl Kadiri M, Carroll RJ, Wand MP (2010) Marginal longitudinal semiparametric regression via penalized splines. Statistics & Probability Letters 80: 1242–1252. Available: http://dx.doi.org/10.1016/j.spl.2010.04.002.
dc.identifier.issn0167-7152
dc.identifier.pmid21037941
dc.identifier.doi10.1016/j.spl.2010.04.002
dc.identifier.urihttp://hdl.handle.net/10754/598758
dc.description.abstractWe study the marginal longitudinal nonparametric regression problem and some of its semiparametric extensions. We point out that, while several elaborate proposals for efficient estimation have been proposed, a relative simple and straightforward one, based on penalized splines, has not. After describing our approach, we then explain how Gibbs sampling and the BUGS software can be used to achieve quick and effective implementation. Illustrations are provided for nonparametric regression and additive models.
dc.description.sponsorshipWand’s research was partially supported by Australian Research Council Discovery Project DP0877055. Carroll’s research was supported by a grant from the US National Cancer Institute (CA57030) and by Award Number KUS-CI-016-04, made by King Abdullah University of Science and Technology, Saudi Arabia.
dc.publisherElsevier BV
dc.subjectAdditive models
dc.subjectBest prediction
dc.subjectGibbs sampling
dc.subjectMaximum likelihood
dc.subjectNonparametric regression
dc.subjectRestricted maximum likelihood
dc.subjectVarying coefficient models
dc.titleMarginal longitudinal semiparametric regression via penalized splines
dc.typeArticle
dc.identifier.journalStatistics & Probability Letters
dc.identifier.pmcidPMC2964941
dc.contributor.institutionCentre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, New South Wales, Australia.
kaust.grant.numberKUS-CI-016-04


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