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You might enjoy my blog series on Causality where I work through Pearls 'Causal Inference in Statistics: A Primer' using Python: https://github.com/DataForScie
by Anon84 6y ago
You might enjoy my blog series on Causality where I work through Pearls 'Causal Inference in Statistics: A Primer' using Python:
https://github.com/DataForScience/Causality https://github.com/DataForScience/Causality
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- michelpp 6y agoWow what an amazing work. Thank you!
- Anon84 6y agoThank you! The only way for me to learn anything is to work through it so this time around I decided to make my work public. I’m glad you found it useful.
- ZephyrBlu 6y agoI have skimmed the first 2 chapters and I still don't understand how causal inference is a useful tool or how you apply it to anything moderately complex. Obviously being able to identify causality is useful, but I don't understand how you can apply causal inference and get a meaningful result. To apply any of the rules regarding DAG structure you first have to have a DAG of events, which seems like it would be difficult to accurately build up.