Semiparametric regression during 2003-2007

Institute of Mathematical Statistics
Publication Type:
Journal Article
Electronic Journal of Statistics, 2009, 3 (1), pp. 1193 - 1256
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2010000468OK.pdf759.17 kB
Adobe PDF
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.
Please use this identifier to cite or link to this item: