The issues of model-based clustering and classification of longitudinal data have received increasing attention in recent years. In this paper, we propose a finite mixture of multivariate t linear ...

Dimension reduction provides a useful tool for analyzing high-dimensional data. The recently developed envelope method is a parsimonious version of the classical multivariate regression model that ...

To analyze next-generation sequencing data, multivariate functional linear models are developed for a meta-analysis of multiple studies to connect genetic variant data to multiple quantitative traits ...