Learning from a lot: Empirical Bayes for high-dimensional model-based prediction
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Empirical Bayes is a versatile approach to "learn from a lot" in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, stored in public repositories. We review applications of a variet... ...
