3 papers
cs.AI2026
Identification of Probabilities of Causation: from Recursive to Closed-Form Bounds
Xin Shu, Shuai Wang, Ang Li
Probabilities of causation (PoCs) are fundamental quantities for counterfactual analysis and personalized decision making. However, existing analytical results are largely confined…
stat.ME2025
Recover Experimental Data with Selection Bias using Counterfactual Logic
Jingyang He, Shuai Wang, Ang Li
Selection bias, arising from the systematic inclusion or exclusion of certain samples, poses a significant challenge to the validity of causal inference. While Bareinboim et al. in…
cs.AI2025
Estimating Probabilities of Causation with Machine Learning Models
Shuai Wang, Ang Li
Probabilities of causation play a crucial role in modern decision-making. This paper addresses the challenge of predicting probabilities of causation for subpopulations with insuff…