This is the final video in a three-part series on causality. In it, I sketch some big ideas from causal discovery, which aims to infer causal structure from data. I finish with a concrete example of doing causal discovery in Python.
Series Playlist: • Causality
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- Causal Discovery Review: www.frontiersi...
- Causal Discovery Toolbox: fentechsolutio...
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Introduction - 0:00
Causal Discovery - 0:21
Forward/Inverse Problem - 1:09
3 Tricks of Causal Discovery - 2:28
Trick 1: Conditional Independence Testing - 2:32
Trick 2: Greedy Search of DAG Space - 5:01
Trick 3: Exploiting Asymmetries - 8:23
Trick-based Taxonomy - 10:34
Example: Causal Discovery with Census Data - 11:13
Closing remarks - 14:26
Негізгі бет Causal Discovery | Inferring causality from observational data
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