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CausalAI-Course
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synthdid.py PublicPython package for causal inference via Synthetic Difference-in-Differences. Supports block and staggered adoption designs, optional covariates, unit/time weight visualization, and standard error e…
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mgtecon634_py
mgtecon634_py PublicThis tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford. Scripts were translated into Pyt…
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Python package for causal inference via Synthetic Difference-in-Differences. Supports block and staggered adoption designs, optional covariates, unit/time weight visualization, and standard error estimation.
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