11 - Causal Discovery from Interventions

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In the 11th week of the Introduction to Causal Inference online course, we cover causal discovery from interventions. Please post questions in the YouTube comments section.

0:00 Intro
0:43 Outline
1:57 Two-Variable Setting
12:15 Complete Graphs are the Worst Case
15:22 Three-Variable Setting
19:43 Number of Interventions to Identify Graph
28:36 Multi-Node Interventions
32:55 Parametric Interventions
37:45 Interventional Markov Equivalence
47:24 Miscellaneous Other Settings
  1. Brady Neal - Causal Inference
  2. causal inference
  3. causality
  4. online course
  5. course
  6. class
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Комментарии
Автор

These videos are extremely helpful. Thanks so much for making them!

akwstr
Автор

hi, can you please specify what necessity and sufficiency mean in these graphs? thank you!

slippedgrey
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In your 3 variable example, is it not the case that from the correlations in the raw data, we know that the graph is fully connected (as all variables are correlated to one and other, and also no two variables are independent of one and other, conditioned on the 3rd), and thus we can get to the answer by only intervening on B (and it's actually not necessary to additionally intervene additionally on C, as I feel was implied) ?

gwillis
Автор

16:37 I guess you wanted to say 'from B to C'.

Grouahh