Decision-making involves understanding how different variables affect each other and predicting the outcome when some of them are changed to new values. For instance, given an outcome variable, one ...
Introducing DoWhy and the 4 steps of causal inference | Microsoft Research Blog | Video Tutorial | Arxiv Paper | Arxiv Paper (GCM-extension) | Slides Read the docs | Try it online! Case Studies using ...
A sample run of DoWhy. In the future, we look forward to adding more features to the library, including support for more estimation and sensitivity methods and interoperability with available ...
In addition to efficient statistical estimators of a treatment’s effect, successful application of causal inference requires specifying assumptions about the mechanisms underlying observed data and ...
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