110 citations · 123 across the 8 of their papers we have counts for
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Estimation and Inference for High-dimensional Multi-response Growth Curve Model
Xin Zhou, Yin Xia, Lexin Li
A growth curve model (GCM) aims to characterize how an outcome variable evolves, develops and grows as a function of time, along with other predictors. It provides a particularly u…
High-dimensional Response Growth Curve Modeling for Longitudinal Neuroimaging Analysis
Lu Wang, Xiang Lyu, Zhengwu Zhang +1
There is increasing interest in modeling high-dimensional longitudinal outcomes in applications such as developmental neuroimaging research. Growth curve model offers a useful tool…
Parsimonious Tensor Response Regression
Lexin Li, Xin Zhang
Aiming at abundant scientific and engineering data with not only high dimensionality but also complex structure, we study the regression problem with a multidimensional array (tens…
Tensor Generalized Estimating Equations for Longitudinal Imaging Analysis
Xiang Zhang, Lexin Li, Hua Zhou +2
In an increasing number of neuroimaging studies, brain images, which are in the form of multidimensional arrays (tensors), have been collected on multiple subjects at multiple time…