2 papers
stat.ME2026
Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction
Rongqian Zhang, Elena Tuzhilina, Jun Young Park
Large-scale neuroimaging studies often collect data from multiple scanners across different sites, where variations in scanners, scanning procedures, and other conditions across si…
stat.ME2026
Boosting multi-view association testing via devariation
Ruyi Pan, Yinqiu He, Jun Young Park
Understanding the interplay between high-dimensional data from different views is essential in biomedical research, particularly in fields such as genomics, neuroimaging and bioban…