Population Empirical Bayes

Understand

Bayesian predictive inference analyzes a dataset to make predictions about new observations.

• When a model does not match the data, predictive accuracy suffers.
• We develop population empirical Bayes (POP-EB), a hierarchical framework that explicitly models the empirical population distribution as part of Bayesian analysis.
• We introduce a new concept, the latent dataset, as a hierarchical variable and set the empirical population as its prior.