To Balance or Not to Balance?
The Unofficial Google Data Science Blog
JUNE 30, 2016
In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. This algorithm is implemented in the SuperLearner R package (Polley & van der Laan, 2014). This is often referred to as the positivity assumption.
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