Empirical process theory for locally stationary processes

We provide a framework for empirical process theory of locally stationary processes using the functional dependence measure. Our results extend known Markov chains and mixing sequences by another common possibility to measure allow additional time dependence. main result is central limit theorem processes. Moreover, maximal inequalities expectations sums are developed. show applicability our in some examples, instance, we uniform convergence rates nonparametric regression with noise.