这里我只是浅尝辄止地谈了谈计量经济里用的比较多的几个方法，其它的像Regression Discontinuity之类的在某...
「因果推论(Causal Inference)就是从经验证据出发，推论事物或者现象之间的因果作用和因果联系。」因果推断...
我们可以逐步理解其背后的逻辑。在对回归分析的常见误解中，认为它只能研究相关性而非因果关系的观点是不全面的。然而，实际操作中，回归分析确实容易被误导，因为可能有未被考虑到的混杂变量（confounding variable）影响结果。
Causal inference in regression: advice to authorsUffe SchjoedtEditorsJohn H. ShaverEditorsRichard SosisEditorsJoseph BulbuliaEditorsWesley J. WildmanEditorsRoutledgeReligion, Brain And Behavior
Regression and Other Stories Mathematical Statistics and Data A...8.8 Business Data Science Understanding Advanced Statistica...9.2 贝叶斯分析7.9 Explanation in Causal Inference All of Nonparametric Statistics8.9 Elements of Causal Inference8.2 Bayesian Data Analysis (3/e)9.0 ...
中国香港因果推论ECON6074Causal Inference专业课程学什么,因果推论ECON6074Causal Inference作业不会写怎么办,考而思针对中国香港因果推论ECON6074Causal Inference专业课程提供一对一课程辅导、作业题目讲解辅导、考试辅导等服务,同步中国香港大学原版课件,一对一习题
Counterfactuals and Causal Infere...9.5 Computer Age Statistical Inference9.0 Regression and Other Stories Thinking Through Statistics The Book of Why8.9 Thinking Clearly with Data Statistical Rethinking (2/e) All of Nonparametric Statistics8.9
Prediction, model selection, and causal inference with regularized regression Introducing two Stata packages: LASSOPACK and PDSLASSO Achim Ahrens (ESRI, Dublin), Mark E Schaffer (Heriot-Watt University, CEPR & IZA), with Christian B Hansen (University of Chicago) https://statalasso.github.io/ ...
2.3 [翻译]R语言案例:An R package for causal inference using Bayesian structural time-series models An R package for causal inference using Bayesian structural time-series models 该包的设计目的是使反事实推理像拟合回归模型一样简单,但在满足上述假设的情况下,功能要强大得多。该包只有一个入口点,即函数...
因此，与其说“因果推断（causal inference）是回归（regression）问题的一种特例”，不如说“回归所假定...