5 citations · 7 across the 8 of their papers we have counts for
8 papers
Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors
Kun Fan, Srijana Subedi, Vishmi Ridmika Dissanayake Pathiranage +1
Frequentist robust variable selection has been extensively investigated in high-dimensional regression. Despite success, developing the corresponding statistical inference procedur…
The Spike-and-Slab Quantile LASSO for Robust Variable Selection in Cancer Genomics Studies
Yuwen Liu, Jie Ren, Shuangge Ma +1
Data irregularity in cancer genomics studies has been widely observed in the form of outliers and heavy-tailed distributions in the complex traits. In the past decade, robust varia…
The Bayesian Regularized Quantile Varying Coefficient Model
Fei Zhou, Jie Ren, Shuangge Ma +1
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of regression coefficients. In addition, due to the quantile check loss function, it is robust a…
Sparse group variable selection for gene-environment interactions in the longitudinal study
Fei Zhou, Xi Lu, Jie Ren +3
Penalized variable selection for high dimensional longitudinal data has received much attention as accounting for the correlation among repeated measurements and providing addition…
Identifying Gene-environment interactions with robust marginal Bayesian variable selection
Xi Lu, Kun Fan, Jie Ren +1
In high-throughput genetics studies, an important aim is to identify gene-environment interactions associated with the clinical outcomes. Recently, multiple marginal penalization m…
Robust Bayesian variable selection for gene-environment interactions
Jie Ren, Fei Zhou, Xiaoxi Li +3
Gene-environment (GE) interactions have important implications to elucidate the etiology of complex diseases beyond the main genetic and environmental effects. Outliers and…
Gene-Environment Interaction: A Variable Selection Perspective
Fei Zhou, Jie Ren, Xi Lu +2
Gene-environment interactions have important implications to elucidate the genetic basis of complex diseases beyond the joint function of multiple genetic factors and their interac…
Semi-parametric Bayesian variable selection for gene-environment interactions
Jie Ren, Fei Zhou, Xiaoxi Li +5
Many complex diseases are known to be affected by the interactions between genetic variants and environmental exposures beyond the main genetic and environmental effects. Study of…