Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis

Vadim Zipunnikov, Sonja Greven, Haochang Shou +3

We develop a flexible framework for modeling high-dimensional imaging data observed longitudinally. The approach decomposes the observed variability of repeatedly measured high-dim…