4 citations · 5 across the 4 of their papers we have counts for
4 papers
Transfer Learning with Large-Scale Quantile Regression
Jun Jin, Jun Yan, Robert H. Aseltine +1
Quantile regression is increasingly encountered in modern big data applications due to its robustness and flexibility. We consider the scenario of learning the conditional quantile…
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
Jianmin Chen, Robert H. Aseltine, Fei Wang +1
Statistical learning with a large number of rare binary features is commonly encountered in analyzing electronic health records (EHR) data, especially in the modeling of disease on…
Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses
Wenjie Wang, Chongliang Luo, Robert H. Aseltine +3
Motivated by the pressing need for suicide prevention through improving behavioral healthcare, we use medical claims data to study the risk of subsequent suicide attempts for patie…
Pursuing Sources of Heterogeneity in Modeling Clustered Population
Yan Li, Chun Yu, Yize Zhao +3
Researchers often have to deal with heterogeneous population with mixed regression relationships, increasingly so in the era of data explosion. In such problems, when there are man…