2 papers
stat.ME2024
Guiding adaptive shrinkage by co-data to improve regression-based prediction and feature selection
Mark A. van de Wiel, Wessel N. van Wieringen
The high dimensional nature of genomics data complicates feature selection, in particular in low sample size studies - not uncommon in clinical prediction settings. It is widely re…
stat.ME2019
Incorporating prior information and borrowing information in high-dimensional sparse regression using the horseshoe and variational Bayes
Gino B. Kpogbezan, Mark A. van de Wiel, Wessel N. van Wieringen +1
We introduce a sparse high-dimensional regression approach that can incorporate prior information on the regression parameters and can borrow information across a set of similar da…