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cs.AI2026
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…
stat.ME2026
General sample size analysis for probabilities of causation: a delta method approach
Tianyuan Cheng, Ruirui Mao, Judea Pearl +1
Probabilities of causation (PoCs), such as the probability of necessity and sufficiency (PNS), are important tools for decision making but are generally not point identifiable. Exi…
cs.AI2026
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…