Introducing Causal Inference Using Bayesian Networks and do-Calculus

We present an instructional approach to teaching causal inference using Bayesian networks and do-Calculus, which requires less prerequisite knowledge of statistics than existing approaches and can be consistently implemented in beginner to advanced levels courses. Moreover, this approach aims to add...

Full description

Bibliographic Details
Main Authors: Yonggang Lu, Qiujie Zheng, Daniel Quinn
Format: Article
Language:English
Published: Taylor & Francis Group 2022-11-01
Series:Journal of Statistics and Data Science Education
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/26939169.2022.2128118