Open amit-sharma opened 2 years ago
Currently reading this book: Causal Inference in Statistics
It is not very tough to read so far. Gives good real world examples. Takes a while to get a hang of terminology and keep a notebook handy to write down stuff as it sometimes get confusing with so many probabilities and conditional probabilities.
Divided into 4 chapters: The second chapter talks about the causal graphs and nodes and how to understand various relationships that exists between nodes by the virtue of the connections and conditioning
Chapter 3 talks about interventions and adjustemnts and other things
Chapter 4 talks about counterfactuals.
We have a stub on introduction to causality here. It will be great to add links to good books/video courses/blogs that are useful for people to get started with causality concepts.
An ideal resource is a general resource that helps people to understand the basic concepts. We are not looking for advanced books or papers.
If you are adding a resource, make sure to add a one sentence description of the resource and what people can expect to learn from it.