3 papers
stat.ME2026
Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
Li Chen, Xiaotong Shen, Wei Pan
Standard diffusion models are flexible estimators of complex distributions, but they do not encode causal structures and therefore do not by themselves support causal analysis. We…
stat.ME2025
Diffusion-Driven High-Dimensional Variable Selection
Minjie Wang, Xiaotong Shen, Wei Pan
Variable selection for high-dimensional, highly correlated data has long been a challenging problem, often yielding unstable and unreliable models. We propose a resample-aggregate…
stat.ME2025
Enhancing Causal Effect Estimation with Diffusion-Generated Data
Li Chen, Xiaotong Shen, Wei Pan
Estimating causal effects from observational data is inherently challenging due to the lack of observable counterfactual outcomes and even the presence of unmeasured confounding. T…