We consider dimension reduction of multiview data, which are emerging in...
Studies of Alzheimer's disease (AD) often collect multiple longitudinal
...
Scalar-on-function linear models are commonly used to regress functional...
Generalized linear mixed models (GLMMs) are used to model responses from...
Covariance estimation is essential yet underdeveloped for analyzing
mult...
We introduce a new sparse estimator of the covariance matrix for
high-di...