Equivalent kernels of smoothing splines in nonparametric regression for clustered/longitudinal data
For independent data, it is well known that kernel methods and spline methods are essentially asymptotically equivalent (Silverman, 1984). However, recent work of Welsh et al. (2002) shows that the same is not true for clustered/longitudinal data. Splines and conventional kernels are different in localness and ability to account for the within-cluster correlation. We show that a smoothing spline estimator is asymptotically equivalent to a recently proposed seemingly unrelated kernel estimator...[Show more]
|Collections||ANU Research Publications|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.