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PyCausalSim 的构建基于数十年的因果推断研究成果：Pearl 的因果框架（结构因果模型、do-calculus）、Rubin 的潜在结果模型，以及现代机器学习方法（NOTEARS, DAG-GNN）和蒙特卡洛模拟。并且它与 DoWhy (Microsoft), EconML (Microsoft) 和 CausalML (Uber) 等生态系统兼容。