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stat.ME2025
Proximal Causal Inference for Modified Treatment Policies
Antonio Olivas-Martinez, Peter B. Gilbert, Andrea Rotnitzky
The proximal causal inference framework enables the identification and estimation of causal effects in the presence of unmeasured confounding by leveraging two disjoint sets of obs…
math.ST2025★ 1 cited
Source-Condition Analysis of Kernel Adversarial Estimators
Antonio Olivas-Martinez, Andrea Rotnitzky
In many applications, the target parameter depends on a nuisance function defined by a conditional moment restriction, whose estimation often leads to an ill-posed inverse problem.…