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stat.ME2025
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…
stat.ME2021
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…
stat.ME2021
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…