2 papers
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…
stat.ME2016
An empirical Bayes approach to network recovery using external knowledge
Gino B. Kpogbezan, Aad W. van der Vaart, Wessel N. van Wieringen +2
Reconstruction of a high-dimensional network may benefit substantially from the inclusion of prior knowledge on the network topology. In the case of gene interaction networks such…