3 papers
stat.ME2023
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…
stat.ME2021
Kernel Knockoffs Selection for Nonparametric Additive Models
Xiaowu Dai, Xiang Lyu, Lexin Li
Thanks to its fine balance between model flexibility and interpretability, the nonparametric additive model has been widely used, and variable selection for this type of model has…
stat.ME2020
Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error
Xiang Lyu, Jian Kang, Lexin Li
High-dimensional vector autoregression with measurement error is frequently encountered in a large variety of scientific and business applications. In this article, we study statis…