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math.ST2026
Self-Normalizing Denominators in Rational Causal Estimation
Shu Tamano
Rational causal estimators in linear structural equation models take the form of one covariance polynomial divided by another, and a small denominator is commonly interpreted as we…
math.ST2026
Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality
Shu Tamano, Masaaki Imaizumi
Distributional causal inference requires estimating not only average treatment effects but also interventional outcome distributions, including quantiles, tail risks, and policy-de…