60 citations · 95 across the 5 of their papers we have counts for
5 papers
CoxKnockoff: Controlled Feature Selection for the Cox Model Using Knockoffs
Daoji Li, Jinzhao Yu, Hui Zhao
Although there is a huge literature on feature selection for the Cox model, none of the existing approaches can control the false discovery rate (FDR) unless the sample size tends…
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes
Ruipeng Dong, Daoji Li, Zemin Zheng
Multi-task learning is increasingly used to investigate the association structure between multiple responses and a single set of predictor variables in many applications. In the er…
Interaction Pursuit with Feature Screening and Selection
Yingying Fan, Yinfei Kong, Daoji Li +1
Understanding how features interact with each other is of paramount importance in many scientific discoveries and contemporary applications. Yet interaction identification becomes…
Interaction pursuit in high-dimensional multi-response regression via distance correlation
Yinfei Kong, Daoji Li, Yingying Fan +1
Feature interactions can contribute to a large proportion of variation in many prediction models. In the era of big data, the coexistence of high dimensionality in both responses a…
Innovated interaction screening for high-dimensional nonlinear classification
Yingying Fan, Yinfei Kong, Daoji Li +1
This paper is concerned with the problems of interaction screening and nonlinear classification in a high-dimensional setting. We propose a two-step procedure, IIS-SQDA, where in t…