机译:观测研究中因果推理的平衡优化子集选择模型的复杂度和近似结果
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801;
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801;
Department of Mathematics and Statistics, Southern Illinois University Edwardsville, Edwardsville, Illinois 62026;
observational studies; causal inference; comparative effectiveness research; matching; fine balance; balance optimization; mixed integer programming; computational complexity; approximation algorithms;
机译:平衡优化子集选择(BOSS):使用观测数据进行因果推断的另一种方法
机译:使用机器学习合奏和粒子群优化的因果推断的最佳子集选择
机译:因果推理模型中子集选择的进化算法
机译:格兰杰因果关系在图形模型中满足因果推断:通过非侵入性观察学习网络
机译:平衡优化子集选择:具有观察数据的因果推断的框架
机译:使用Wright-Fisher模型的各种参数逼近从遗传时间序列中进行选择的推论
机译:基于对抗的基于平衡的代表学习因果效应推论观察数据