  We obtain an almost sure bound for oscillation rates of empirical
distribution functions for stationary causal processes. For short-range
dependent processes, the oscillation rate is shown to be optimal in the sense
that it is as sharp as the one obtained under independence. The dependence
conditions are expressed in terms of physical dependence measures which are
directly related to the data-generating mechanism of the underlying processes
and thus are easy to work with.
