23 citations · 38 across the 6 of their papers we have counts for
6 papers
Novel Knockoff Generation and Importance Measures with Heterogeneous Data via Conditional Residuals and Local Gradients
Evan Mason, Zhe Fei
Knockoff variable selection is a powerful framework that creates synthetic knockoff variables to mirror the correlation structure of the observed features, enabling principled cont…
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
Zhe Fei, Yi Li
Epigenetic aging clocks play a pivotal role in estimating an individual's biological age through the examination of DNA methylation patterns at numerous CpG (Cytosine-phosphate-Gua…
Regulating stochastic clocks
Zhe Fei, Weixuan Xia
Stochastic clocks represent a class of time change methods for incorporating trading activity into continuous-time financial models, with the ability to deal with typical asymmetri…
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov +2
In the era of big data, standard analysis tools may be inadequate for making inference and there is a growing need for more efficient and innovative ways to collect, process, analy…
Inference for High Dimensional Censored Quantile Regression
Zhe Fei, Qi Zheng, Hyokyoung G. Hong +1
With the availability of high dimensional genetic biomarkers, it is of interest to identify heterogeneous effects of these predictors on patients' survival, along with proper stati…
Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach
Zhe Fei, Yi Li
The focus of modern biomedical studies has gradually shifted to explanation and estimation of joint effects of high dimensional predictors on disease risks. Quantifying uncertainty…