Title: Functional and Longitudinal Data Analysis:  Perspectives on Smoothing
Authors:  John Rice
Date: March 2003
The perspectives and methods of functional data analysis and
longitudinal data analysis are contrasted and compared. Topics
include kernel methods and random effects models for smoothing,
basis function methods, and  examination of the relation of
covariates to curve shapes.  Some directions in which methodology
might advance are identified.