3 papers
stat.ME2025
StaRQR-K: False Discovery Rate Controlled Regional Quantile Regression
Sang Kyu Lee, Tongwu Zhang, Hyokyoung G. Hong +1
Quantifying how genomic features influence different parts of an outcome distribution requires statistical tools that go beyond mean regression, especially in ultrahigh-dimensional…
stat.ME2024
High-dimensional partial linear model with trend filtering
Sang Kyu Lee, Erikka Loftfield, Hyokyoung G. Hong +1
Understanding the links between diet, metabolic changes, and health outcomes is a key focus in nutritional science and broader biological research. Analyzing relationships, such as…
stat.ME2024
Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data
Daewoo Pak, Jianrui Zhang, Di Wu +2
We develop a set of variable selection methods for the Cox model under interval censoring, in the ultra-high dimensional setting where the dimensionality can grow exponentially wit…