3 papers
stat.ME2026
Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator
Helen Guo, Beatrix Yaxin Wen, Ilya Shpitser
Unobserved confounding is a fundamental obstacle in causal inference problems. In the graphical modeling literature, a general theory has been developed that allows identification…
stat.ME2026
Proximal Causal Inference for Hidden Outcomes
Helen Guo, Ilya Shpitser, Elizabeth L. Ogburn
Methods that rely on proxies, without imposing strong parametric structure, are increasingly used to deal with unobserved variables in causal inference. One influential line of thi…
stat.ME2026
Comparing Two Proxy Methods for Causal Identification
Helen Guo, Elizabeth L. Ogburn, Ilya Shpitser
Identifying causal effects in the presence of unmeasured variables is a fundamental challenge in causal inference, for which proxy variable methods have emerged as a powerful solut…