Empirical process

Summary

The empirical process of a sample is the gap between its empirical distribution function and the true cumulative distribution function, times $\sqrt{n}$. It is the main object behind uniform laws of large numbers and functional central limit theorems in statistics. The Glivenko–Cantelli theorem and Donsker's theorem describe its behaviour as the sample size grows.