Efficient Symbolic Computations for Identifying Causal Effects
arXiv:2604.20516v1 Announce Type: cross
Abstract: Determining identifiability of causal effects from observational data under latent confounding is a central challenge in causal inference. For linear structural causal models, identifiability of causal…