Empirical Bayes is a statistical technique that combines the principles of Bayesian inference with empirical data to estimate prior distributions from the data itself. It is particularly useful in situations where traditional Bayesian methods are difficult to apply due to the lack of prior information, allowing for more flexible and data-driven analysis.