3 papers
stat.ME2026
Interpolated stochastic interventions based on propensity scores, target policies and treatment-specific costs
Johan de Aguas
We introduce two families of stochastic interventions with discrete treatments that connect causal modeling to cost-sensitive decision making. The interventions arise from a cost-p…
stat.ME2025
Causal inference amid missingness-specific independencies and mechanism shifts
Johan de Aguas, Leonard Henckel, Johan Pensar +1
The recovery of causal effects in structural models with missing data often relies on -graphs, which assume that missingness mechanisms do not directly influence substantive var…
stat.ME2025
The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference
Johan de Aguas, Sebastian Krumscheid, Johan Pensar +1
We define the Probability of Tiered Benefit in scenarios with a binary exposure and an outcome that is either categorical with ordered tiers or continuous partitioned by…