8 citations · 10 across the 4 of their papers we have counts for
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stat.ME2023
Sparse-group SLOPE: adaptive bi-level selection with FDR-control
Fabio Feser, Marina Evangelou
In this manuscript, a new high-dimensional approach for simultaneous variable and group selection is proposed, called sparse-group SLOPE (SGS). SGS achieves false discovery rate co…
stat.ME2021★ 8 cited
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
Michael Komodromos, Eric Aboagye, Marina Evangelou +2
Few Bayesian methods for analyzing high-dimensional sparse survival data provide scalable variable selection, effect estimation and uncertainty quantification. Such methods often e…