5
Forks, Chains, and Immoralities
Welcome to Chapter 5!
In the previous chapter, we discussed the basic characteristics of graphs and showed how to use graphs to build graphical models. In this chapter, we will dive deeper into graphical models and discover their powerful features.
We’ll start with a brief introduction to the mapping between distributions and graphs. Next, we’ll learn about three basic graphical structures – forks, chains, and colliders – and their properties.
Finally, we’ll use a simple linear example to show in practice how the graphical properties of a system can translate to its statistical properties.
The material discussed in this chapter will provide us with a solid foundation for understanding classic causal inference ...
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