Publications

2026

1. CLeaR

   Oral

   Cross-Sectional Conditional Independence in Stationary Time Series: Graphical Equivalence and Completeness of Collider Separation

   Hubert Drazkowski

   In Conference on Causal Learning and Reasoning (CLeaR), 2026

   Abs PDF Slides

   Proximal variables regression estimates effects in the presence of unobserved confounding by using conditionally separated proxies. We study a structural violation caused by variables that act simultaneously as mediators and colliders between them.

2. CLeaR

   Beware of Hinges in Proximal Variables Regression: Adjusting for Colliding-Mediators with Nuisance PV

   Hubert Drazkowski

   In Conference on Causal Learning and Reasoning (CLeaR), 2026

   Abs PDF

   We study cross-sectional conditional independence in time series. We reconcile two graphical separations and prove for them strong completeness within GaussianVAR.