3 papers
stat.ME2025
Ridge partial correlation screening for ultrahigh-dimensional data
Run Wang, An Nguyen, Somak Dutta +1
Variable selection in ultrahigh-dimensional linear regression is challenging due to its high computational cost. Therefore, a screening step is usually conducted before variable se…
stat.ME2025
Bayesian iterative screening in ultra-high dimensional linear regressions
Run Wang, Somak Dutta, Vivekananda Roy
Variable selection in ultra-high dimensional linear regression is often preceded by a screening step to significantly reduce the dimension. Here we develop a Bayesian variable scre…
stat.ME2025
Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
Runqiu Wang, Ran Dai, Hongying Dai +2
One challenge in exploratory association studies using observational data is that the associations between the predictors and the outcome are potentially weak and rare, and the can…