Empirical Bayes is a statistical approach that combines Bayesian principles with empirical data to make inferences about a population while estimating parameters from observed data. This method uses the data at hand to inform the prior distribution, effectively creating a semi-Bayesian framework that allows for more accurate predictions, especially in cases where sample sizes are small or information is limited.
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