Counterfactual Causal Inference for Credit‑Limit Modeling (Mono‑CFR)
This article presents a comprehensive overview of causal inference paradigms, the evolution of uplift and representation‑learning frameworks, and introduces the Mono‑CFR counterfactual credit‑limit model that estimates treatment effects for continuous credit limits using observational data while addressing confounding factors.