4 citations · 6 across the 6 of their papers we have counts for
7 papers
An Integrated Deep Learning and Statistical Framework for Whole-Network Gene--Environment Association with Leaf Vascular Architecture
Geran Zhao, Yangsheng Wang, Xiaotian Dai +1
Leaf veins exhibit remarkable diversity in architecture and patterning, yet existing gene--environment association studies have primarily quantified leaf venation using a small col…
Longitudinal Random Forests for Sparse and Irregular Response Trajectories
Yangsheng Wang, Xiaotian Dai, Haoda Fu +1
Longitudinal studies often collect data at sparse, irregular, and unequally spaced time points. Such heterogeneity is often driven by subject-specific covariates, yet existing meth…
An Approach of Bayesian Variable Selection for Ultrahigh Dimensional Multivariate Regression
Xiaotian Dai, Guifang Fu, Randall Reese +2
In many practices, scientists are particularly interested in detecting which of the predictors are truly associated with a multivariate response. It is more accurate to model multi…
High-Dimensional Functional Mixed-effect Model for Bilevel Repeated Measurements
Xiaotian Dai, Guifang Fu
The bilevel functional data under consideration has two sources of repeated measurements. One is to densely and repeatedly measure a variable from each subject at a series of regul…
Epistasis Detection Via the Joint Cumulant
Randall Reese, Guifang Fu, Geran Zhao +3
Selecting influential nonlinear interactive features from ultrahigh dimensional data has been an important task in various fields. However, statistical accuracy and computational f…
Strong Sure Screening of Ultra-high Dimensional Categorical Data
Randall Reese, Xiaotian Dai, Guifang Fu
Feature screening for ultra high dimensional feature spaces plays a critical role in the analysis of data sets whose predictors exponentially exceed the number of observations. Suc…
Strong Sure Screening of Ultra-high Dimensional Data with Interaction Effects
Randall Reese, Xiaotian Dai, Guifang Fu
Ultrahigh dimensional data sets are becoming increasingly prevalent in areas such as bioinformatics, medical imaging, and social network analysis. Sure independent screening of suc…