Using random effects models in prediction problems
The Unofficial Google Data Science Blog
MARCH 31, 2016
We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. 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.
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