2 papers
math.ST2026
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
Gijs van Seeventer, Saber Salehkaleybar
We study identifiability in continuous-time linear stationary stochastic differential equations with a known causal structure. Unlike existing approaches, we relax the assumption o…
cs.LG2026
Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect Estimation
Ana Leticia Garcez Vicente, Gijs van Seeventer, Saber Salehkaleybar
Estimating causal effects from observational data requires identifying valid adjustment sets. This task is especially challenging in realistic settings where latent confounding and…