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We consider long-range dependent data. It is shown that the bootstrappedempirical process of these data converges to a semi-degenerate limit. Therandom part of this limit is always Gaussian. Thus the bootstrap might failwhen the original empirical process accomplishes a noncentral limit theorem.

Block bootstrap for the empirical process of long-range dependent data