576 citations · 1.1k across the 42 of their papers we have counts for
4 papers · 1 filter
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…
Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
Lan Luo, Chengchun Shi, Jitao Wang +2
Mediation analysis is an important analytic tool commonly used in a broad range of scientific applications. In this article, we study the problem of mediation analysis when there a…
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
Yunzhe Zhou, Chengchun Shi, Lexin Li +1
The Markov property is widely imposed in analysis of time series data. Correspondingly, testing the Markov property, and relatedly, inferring the order of a Markov model, are of pa…
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…