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stat.ME2026
Robust Subgroup Analysis for Heterogeneous Censored Data
Zhaohui Xu, Daoji Li, Zemin Zheng
Subgroup analysis is important in practice because real-world data typically come from heterogeneous populations, where meaningful patterns can differ substantially across subpopul…
stat.ME2025★ 1 cited
Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
Jie Wu, Bo Zhang, Daoji Li +1
Heterogeneous data are now ubiquitous in many applications in which correctly identifying the subgroups from a heterogeneous population is critical. Although there is an increasing…
stat.ME2023
Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension
Daoji Li, Yinfei Kong, Dawit Zerom
In practical applications, one often does not know the "true" structure of the underlying conditional quantile function, especially in the ultra-high dimensional setting. To deal w…