Applied Causal Inference Powered by ML and AI

5305
2024年03月04日
这本书介绍了机器学习和因果推断的新兴融合。它提出了来自经典结构方程模型(SEMs)及其现代人工智能等价物——有向无环图(DAGs)和结构性因果模型(SCMs)的思想，并介绍了双重/无偏机器学习方法，以使用现代预测工具在这些模型中进行推断。
An introduction to the emerging fusion of machine learning and causal inference. The book presents ideas from classical structural equation models (SEMs) and their modern AI equivalent, directed acyclical graphs (DAGs) and structural causal models (SCMs), and covers Double/Debiased Machine Learning methods to do inference in such models using modern predictive tools.
许愿