5 citations · 16 across the 13 of their papers we have counts for
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stat.ME2017★ 1 cited
FDR-Corrected Sparse Canonical Correlation Analysis with Applications to Imaging Genomics
Alexej Gossmann, Pascal Zille, Vince Calhoun +1
Reducing the number of false discoveries is presently one of the most pressing issues in the life sciences. It is of especially great importance for many applications in neuroimagi…
stat.ME2016★ 3 cited
Group SLOPE - adaptive selection of groups of predictors
Damian Brzyski, Alexej Gossmann, Weijie Su +1
Sorted L-One Penalized Estimation (SLOPE) is a relatively new convex optimization procedure which allows for adaptive selection of regressors under sparse high dimensional designs.…