4 papers · 1 filter
General Probabilities of Causation with Causal Knowledge
Xin Shu, Zhen Lei, Ang Li
Probabilities of causation (PoCs) characterize individual causal responses that cannot be directly observed and therefore generally require partial identification. Tian and Pearl f…
Bounding Probabilities of Causation with Partial Causal Diagrams
Yuxuan Xie, Ang Li
Probabilities of causation are fundamental to individual-level explanation and decision making, yet they are inherently counterfactual and not point-identifiable from data in gener…
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…
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…