D-Separation

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Leslie Myint

Leslie Myint

Күн бұрын

Пікірлер: 8
@actruce
@actruce 3 жыл бұрын
Thanx for making this video! I finally understand the algorithm how to select d-separation
@programmingwithjackchew903
@programmingwithjackchew903 Жыл бұрын
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
@lesliemyint1865 Жыл бұрын
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
@alexiscanari8776 3 жыл бұрын
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
@lesliemyint1865 3 жыл бұрын
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
@alexiscanari8776 2 жыл бұрын
@@lesliemyint1865 that'samazing , thank you so much!!
@FelipeSanhueza94
@FelipeSanhueza94 2 жыл бұрын
Thanks ! great explanation
@yulinliu850
@yulinliu850 3 жыл бұрын
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