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Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding

arXiv:2609.40051v1 Announce Type: new Abstract: Estimating causal effects from observational data is central to science and policy, but the effects are not identified when confounders are unmeasured. Proximal causal inference addresses this problem with proxies of the unmeasured confounders. Howeve…

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  1. 2026-10-01 04:00 · arXiv stat.ML
    Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding

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