双高斯 DAG-probit 模型中的贝叶斯因果推论（英文版）

英文标题：Bayesian Causal Inference in Doubly Gaussian DAG-probit Models中文摘要：该研究介绍了在观测数据下，考虑两组共性变量的二元响应变量建模，旨在构建两个有向无环图（DAGs），同时估计每个节点的影响因素，并采用 MCMC 方法从后验分布中取样估算 DAG 的骨架和模型参数。英文摘要：We consider modeling a binary response variable together with a set ofcovariates for two groups under observational data. The grouping variable canbe the confounding variable (the common cause of treatment and outcome),gender, case/control, ethnicity, etc. Given the covariates and a binary latentvariable, the goal is to con