1 code implementation • 15 Dec 2019 • Meng Xu, Philip T. Reiss, Ivor Cribben
To meet this need, we propose a new distance-based intraclass correlation coefficient (dbICC), defined in terms of arbitrary distances among observations.
Methodology Applications
1 code implementation • 1 Dec 2019 • Meng Xu, Philip T. Reiss
Whereas such envelope tests examine deviation from a functional null distribution in an omnibus sense, in some applications we wish to do more: to obtain p-values at each point in the function domain, adjusted to control the familywise error rate.
Methodology Applications
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
