@article{c3d89e96722e42eeb218db0f2600a107,
title = "Semiparametric regression during 2003–2007",
abstract = "Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology – thus allowing more streamlined handling of longitudinal and spatial correlation. We review progress in the field over the five-year period between 2003 and 2007. We find semiparametric regression to be a vibrant field with substantial involvement and activity, continual enhancement and widespread application.",
author = "David Ruppert and M.P. Wand and Carroll, {Raymond J.}",
note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): KUS-CI-016-04 Acknowledgements: Supported by grants from the National Cancer Institute (CA57030) and the National Science Foundation (DMS-0805975). Supported by a grant from the Australian Research Council (DP0877055). Supported by grants from the National Cancer Institute (CA57030, CA104620), and also in part by award number KUS-CI-016-04 made by the King Abdullah University of Science and Technology. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",
year = "2009",
doi = "10.1214/09-ejs525",
language = "English (US)",
volume = "3",
pages = "1193--1256",
journal = "Electronic Journal of Statistics",
issn = "1935-7524",
publisher = "Institute of Mathematical Statistics",
}