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stat.ME2026
Partial Identification Learning with Categorical Treatments for Individualized Treatment Rules
Johannes Hruza, Paweł Morzywołek, Jakob Zeitler +2
We develop a partial identification learning framework for individualized treatment rules (ITRs) with categorical treatments, outcomes, and instrumental variables. Rather than rely…
stat.ME2026
Deriving Complete Constraints in Hidden Variable Models
Michael C. Sachs, Erin E. Gabriel, Robin J. Evans +1
Hidden variable graphical models can sometimes imply constraints on the observable distribution that are more complex than simple conditional independence relations. These observab…