Partial Identification with Noisy Covariates: A Robust Optimization Approach

Causal inference from observational datasets often relies on measuring and adjusting for covariates. In practice, measurements of the covariates can often be noisy and/or biased, or only measurements of their proxies may be available. Directly adjusting for these imperfect measurements of the covari...

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Hauptverfasser: Guo, Wenshuo, Yin, Mingzhang, Wang, Yixin, Jordan, Michael I
Format: Artikel
Sprache:eng
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