For stochastic processes $\{X_t:t\in E\}$, we establish sufficient conditions
for the empirical process based on $\{I_{X_t\le y}-\operatorname{Pr}(X_t\le
y):t\in E,y\in\mathbb{R}\}$ to satisfy the CLT uniformly in $t\in
E,y\in\mathbb{R}$. Corollaries of our main result include examples of classical
processes where the CLT holds, and we also show that it fails for Brownian
motion tied down at zero and $E=[0,1]$.Comment: Published in at http://dx.doi.org/10.1214/11-AOP711 the Annals of
Probability (http://www.imstat.org/aop/) by the Institute of Mathematical
Statistics (http://www.imstat.org
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.