no code implementations • 2 Dec 2014 • Philip T. Reiss, Lei Huang, Huaihou Chen, Stan Colcombe
We discuss three approaches to estimating varying-smoother models: (a) methods that employ a tensor product penalty; (b) an approach based on smoothed functional principal component scores; and (c) two-step methods consisting of an initial smooth with respect to $t$ at each $s$, followed by a postprocessing step.
Methodology
