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Semiparametric regression during 2003–2007
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