Semiparametric regression during 2003-2007. Academic Article uri icon


  • 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.

published proceedings

  • Electron J Stat

altmetric score

  • 13.35

author list (cited authors)

  • Ruppert, D., Wand, M. P., & Carroll, R. J.

citation count

  • 185

complete list of authors

  • Ruppert, David||Wand, MP||Carroll, Raymond J

publication date

  • January 2009