739 citations · 1.8k across the 34 of their papers we have counts for
3 papers · 2 filters
Efficient Multiple Testing Adjustment for Hierarchical Inference
Claude Renaux, Peter Bühlmann
Hierarchical inference in (generalized) regression problems is powerful for finding significant groups or even single covariates, especially in high-dimensional settings where iden…
Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation
Solt Kovács, Tobias Ruckstuhl, Helena Obrist +1
We consider estimation of undirected Gaussian graphical models and inverse covariances in high-dimensional scenarios by penalizing the corresponding precision matrix. While single…
Learning and scoring Gaussian latent variable causal models with unknown additive interventions
Armeen Taeb, Juan L. Gamella, Christina Heinze-Deml +1
With observational data alone, causal structure learning is a challenging problem. The task becomes easier when having access to data collected from perturbations of the underlying…