Identifying Causal Effects Using a Single Proxy Variable
arXiv:2604.09135v1 Announce Type: cross
Abstract: Unobserved confounding is a key challenge when estimating causal effects from a treatment on an outcome in scientific applications. In this work, we assume that we observe a single, potentially multi-d…