Causality
因果关系
原因如何导致后果？您可以将导致观察到的结果的原因联系起来吗？大数据为我们打开了回答此类问题的大门，但是在我们能够做到这一点之前，我们必须深入到因果推理领域，该领域由朱迪亚·珀尔（Judea Pearl）倡导。在这一系列博客文章中，我们将通过“统计因果推断”的工作方式来了解因果关系的主要思想，该因果由Pearl亲自撰写，是一本不错的入门文章。
亚马逊会员链接： :
全书分为四章。第一章介绍了概率和统计方面的背景资料。其他三个章节（大致）组织成与Pearl所定义的因果关系阶梯中的“三个步骤”相对应：
- 协会
- 干涉
—反事实
在这一系列博客文章中，我们将涵盖本书的大部分内容，并特别强调我认为更有趣或与实际应用相关的部分。除了概述和解释内容之外，我们还将使用可在Binder上运行的简单（或尽可能简单）Python代码探索一些想法：
第1章
1.2-
1.3-
1
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