
#221: Causal Inference Revisited (...DAGnabbit!) with DJ Rich
The Analytics Power Hour
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The Importance of Causal Inference
directed acyclic graphs or DAGS are a way to constrain models. They show up in graph theory and causal inference it seems, they're all over the place. So at the end of the day, you need a single function which maps from your decisions to your outcomes. And that is in the space of all possible ways things could be a very specific thing. It's good for really collapsing the space of models that you're seeing to estimate.
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