2 papers
stat.ME2026
Counterfactual Optimization of Policy Interventions: Lexical Ordering and Leapfrogging
Martina Scauda, Tobias Freidling, Qingyuan Zhao
Most data-driven policy learning methods maximize average outcomes, overlooking the possibility that a policy beneficial on average may still harm a substantial fraction of individ…
stat.ME2025
A Latent Causal Inference Framework for Ordinal Variables
Martina Scauda, Jack Kuipers, Giusi Moffa
Ordinal variables, such as on the Likert scale, are common in applied research. Yet, existing methods for causal inference tend to target nominal or continuous data. When applied t…