4 papers
Multi-omics network reconstruction with collaborative graphical lasso
Alessio Albanese, Wouter Kohlen, Pariya Behrouzi
Motivation: In recent years, the availability of multi-omics data has increased substantially. Multi-omics data integration methods mainly aim to leverage different molecular layer…
Hierarchical Causal Structure Learning
Sjoerd Hermes, Joost van Heerwaarden, Fred van Eeuwijk +1
Traditional statistical approaches primarily aim to model associations between variables, but many scientific and practical questions require causal methods instead. These approach…
Multi-Attribute Preferences: A Transfer Learning Approach
Sjoerd Hermes, Joost van Heerwaarden, Pariya Behrouzi
This contribution introduces a novel statistical learning methodology based on the Bradley-Terry method for pairwise comparisons, where the novelty arises from the method's capacit…
Joint Learning from Heterogeneous Rank Data
Sjoerd Hermes, Joost van Heerwaarden, Pariya Behrouzi
The statistical modelling of ranking data has a long history and encompasses various perspectives on how observed rankings arise. One of the most common models, the Plackett-Luce m…