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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. These predictive posterior distributions have many uses such as in multi-armed bandit problems. bandit problems).