2 papers
stat.AP2026
A Guide to Estimating Conditional Average Treatment Effects in Competing Risks Settings
Daniel Klippert, Sarah Friedrich, Markus Pauly
Conditional average treatment effects (CATEs) are central to treatment decision-making in personalized medicine. In competing risks settings, estimating CATEs from survival data al…
stat.ML2025
Skewness-Robust Causal Discovery in Location-Scale Noise Models
Daniel Klippert, Alexander Marx
To distinguish Markov equivalent graphs in causal discovery, it is necessary to restrict the structural causal model. Crucially, we need to be able to distinguish cause from ef…