Do you want BuboFlash to help you learning these things? Or do you want to add or correct something? Click here to log in or create user.

#causality #statistics

the main assumptions that we need for our causal graphical models to tell us how association and causation flow between variables are the following two:

1. Local Markov Assumption (Assumption 3.1)

2. Causal Edges Assumption (Assumption 3.3)

If you want to change selection, open document below and click on "Move attachment"


owner: crocodile - (no access) - Introduction_to_Causal_Inference-Nov19_2020-Neal.pdf, p31


statusnot read reprioritisations
last reprioritisation on suggested re-reading day
started reading on finished reading on



Do you want to join discussion? Click here to log in or create user.