5 papers · 1 filter
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…
A Statistical Interpretation of Multi-Item Rating and Recommendation Problems
Sjoerd Hermes
Ordinal user-provided ratings across multiple items are frequently encountered in both scientific and commercial applications. Whilst recommender systems are known to do well on th…
A Spatial Autoregressive Graphical Model with Applications in Intercropping
Sjoerd Hermes, Joost van Heerwaarden, Pariya Behrouzi
Within the statistical literature, a significant gap exists in methods capable of modeling asymmetric multivariate spatial effects that elucidate the relationships underlying compl…