4 citations · 5 across the 3 of their papers we have counts for
3 papers
stat.ME2021
Kernel regression for cause-specific hazard models with time-dependent coefficients
Xiaomeng Qi, Zhangsheng Yu
Competing risk data appear widely in modern biomedical research. Cause-specific hazard models are often used to deal with competing risk data in the past two decades. There is no c…
math.ST2019★ 4 cited
A kernel regression model for panel count data with time-varying coefficients
Yang Wang, Zhangsheng Yu
For the conditional mean function of panel count model with time-varying coefficients, we propose to use local kernel regression method for estimation. Partial log-likelihood with…
stat.CO2019★ 1 cited
A Fast Iterative Algorithm for High-dimensional Differential Network
Zhou Tang, Zhangsheng Yu, Cheng Wang
Differential network is an important tool to capture the changes of conditional correlations under two sample cases. In this paper, we introduce a fast iterative algorithm to recov…