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 causal graph for interventional distributions is simply the same graph that was used for the observational joint distribution, but with all of the edges to the intervened node(s) removed. This is because the probability for the intervened factor has been set to 1, so we can just ignore that factor (this is the focus of the next section). Another way to see that the intervened node has no causal parents is that the intervened node is set to a constant value, so it no longer depends on any of the variables it depends on in the observational setting (its parents). The graph with edges removed is known as the manipulated graph
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, p42


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.