The bootstrap for empirical processes based on stationary observations

AbstractIt is shown that the blockwise bootstrap of the empirical process for a stationary β-mixing sequences, indexed by VC-subgraph classes of functions, converges weakly to the appropriate Gaussian process, conditionally in probability. The conditions imposed are only marginally stronger than the best-known sufficient conditions for the regular CLT for these processes