Marginal longitudinal semiparametric regression via penalized splines

M. Al Kadiri, R.J. Carroll and M.P. Wand

Statistics & Probability Letters, 2010, vol. 80, issue 15-16, 1242-1252

Abstract: We 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.

Keywords: Additive; models; Best; prediction; Maximum; likelihood; Gibbs; sampling; Nonparametric; regression; Restricted; maximum; likelihood; Varying; coefficient; models (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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