On semiparametric regression with O'Sullivan penalised splines

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dc.creatorWand, M. P.
dc.creatorOrmerod, J. T.
dc.date2007-07-02
dc.date.accessioned2026-07-07T08:13:27Z
dc.date.available2026-07-07T08:13:27Z
dc.descriptionThis is an exposé on the use of O'Sullivan penalised splines in contemporary semiparametric regression, including mixed model and Bayesian formulations. O'Sullivan penalised splines are similar to P-splines, but have an advantage of being a direct generalisation of smoothing splines. Exact expressions for the O'Sullivan penalty matrix are obtained. Comparisons between the two reveals that O'Sullivan penalised splines more closely mimic the natural boundary behaviour of smoothing splines. Implementation in modern computing environments such as Matlab, R and BUGS is discussed.
dc.description19 pages with 9 figures
dc.identifierhttps://arxiv.org/abs/0707.0143
dc.identifierhttp://arxiv.org/abs/0707.0143
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/132771
dc.subjectMethodology
dc.titleOn semiparametric regression with O'Sullivan penalised splines
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