Remove 2006 Remove Interactive Remove Testing Remove Uncertainty
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters. It is a big picture approach, worthy of your consideration.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. Column "a" is an advertiser id, "b" is a web site, and "c" is the 'interaction' of columns "a" and "b". $y$ Cambridge University Press, (2006). [2]