D-Separation

[@actruce]

Thanx for making this video! I finally understand the algorithm how to select d-separation

[@programmingwithjackchew903]

hi i was wondering what is the criteria you determine this graph belongs to non causal graph? is it more than 1 structure to compose the graph belong to non causal for example combination of fork and chain is belong to non-causal graph?

[@lesliemyint1865]

To clarify, it is not a *graph* that is causal or noncausal, but rather *paths* within a graph. I'd recommend watching some of the earlier videos in this playlist: kzbin.info/aero/PLtjTgbI6JvXZ-rrZ9FOLG37IWwoyR1GcF. (In particular, the videos titled "Introduction to Causal Graphs", "Causal Graphs as Statistical Models", "Key Structures in Causal Graphs", and "Causal and Noncausal Paths."

[@alexiscanari8776]

Thank you so much!!! your explanation is great!! Could you maybe please do a video about potential outcomes. I trying to understand it but I have been some struggles. Thank you so much and continue doing these amazing videos!!! :)

[@lesliemyint1865]

I'm glad this was helpful! I have a video that explains potential outcomes in the context of defining what causal effects are: kzbin.info/www/bejne/pqC2eJp5e9h7nbc. Hopefully that helps!

[@alexiscanari8776]

@@lesliemyint1865 that'samazing , thank you so much!!

[@FelipeSanhueza94]

Thanks ! great explanation

[@yulinliu850]

👍❤🎉