Causal attribution in an era of big time-series data
The Unofficial Google Data Science Blog
SEPTEMBER 23, 2015
by KAY BRODERSEN For the first time in the history of statistics, recent innovations in big data might allow us to estimate fine-grained causal effects, automatically and at scale. But the analytical challenges are substantial. Every idea at Google begins with a simple question. How can we predict the benefits the idea's realization would create for users, publishers, developers, or advertisers?
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