Translator Disclaimer
2009 Semiparametric regression during 2003–2007
David Ruppert, M.P. Wand, Raymond J. Carroll
Electron. J. Statist. 3(none): 1193-1256 (2009). DOI: 10.1214/09-EJS525

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.

Citation

Download Citation

David Ruppert. M.P. Wand. Raymond J. Carroll. "Semiparametric regression during 2003–2007." Electron. J. Statist. 3 1193 - 1256, 2009. https://doi.org/10.1214/09-EJS525

Information

Published: 2009
First available in Project Euclid: 4 December 2009

zbMATH: 1326.62094
MathSciNet: MR2566186
Digital Object Identifier: 10.1214/09-EJS525

Subjects:
Primary: 60-02, 60G05, 60G08

Rights: Copyright © 2009 The Institute of Mathematical Statistics and the Bernoulli Society

JOURNAL ARTICLE
64 PAGES


SHARE
Back to Top