Empirical Bayes

Bayesian methods

Also known as maximum marginal likelihood

Empirical Bayes methods are a way of setting priors by looking at the data.

Empirical Bayes may be viewed as an approximation to a fully Bayesian treatment of a hierarchical model wherein the parameters at the highest level of the hierarchy are set to their most likely values, instead of being integrated out.