DCMA uses conditional generative models to recover and simulate interventional outcome distributions for distributional causal mediation effects, with derived error bounds.
Journal of the Royal Statistical Society Series B: Statistical Methodology , pages=
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Distributional Causal Mediation via Conditional Generative Modeling
DCMA uses conditional generative models to recover and simulate interventional outcome distributions for distributional causal mediation effects, with derived error bounds.