Information-Theoretic Causal Bounds under Unmeasured Confounding

arXiv:2601.17160v3 Announce Type: replace-cross Abstract: We develop a data-driven information-theoretic framework for sharp partial identification of causal effects under unmeasured confounding. Existing approaches often rely on restrictive assumptions, such as bounded or dis...

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