1 citations · 1 across the 1 of their papers we have counts for
4 papers
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 of time-varying reproduction numbers underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic
Hyokyoung G. Hong, Yi Li
The coronavirus pandemic has rapidly evolved into an unprecedented crisis. The susceptible-infectious-removed (SIR) model and its variants have been used for modeling the pandemic.…
Covariance-Insured Screening
Kevin He, Jian Kang, Hyokyoung Grace Hong +5
Modern bio-technologies have produced a vast amount of high-throughput data with the number of predictors far greater than the sample size. In order to identify more novel biomarke…
Conditional Screening for Ultra-high Dimensional Covariates with Survival Outcomes
Hyokyoung Grace Hong, Jian Kang, Yi Li
Identifying important biomarkers that are predictive for cancer patients' prognosis is key in gaining better insights into the biological influences on the disease and has become a…