Semiparametric regression during 2003–2007

David Ruppert, M.P. Wand, Raymond J. Carroll
2009 Electronic Journal of Statistics  
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.
doi:10.1214/09-ejs525 pmid:20305800 pmcid:PMC2841361 fatcat:37rhsccmvzeh3kiyuopffbw43q