no code implementations • 5 Jan 2021 • Zhenhua Lin, Dehan Kong, Linbo Wang
Understanding causal relationships is one of the most important goals of modern science.
Causal Inference Methodology
no code implementations • 18 Sep 2020 • Zhenhua Lin, Hans-Georg Müller, Byeong U. Park
The additive model for responses in the space of symmetric positive-definite matrices with either of these metrics is shown to connect to an additive model on a tangent space.
Methodology Statistics Theory Statistics Theory 62G08, 62R30
1 code implementation • 12 Dec 2018 • Xiongtao Dai, Zhenhua Lin, Hans-Georg Müller
When considering functional principal component analysis for sparsely observed longitudinal data that take values on a nonlinear manifold, a major challenge is how to handle the sparse and irregular observations that are commonly encountered in longitudinal studies.