We study the robustness of block resampling procedures for time series. We first derive a set of formulas to … applications. This renders inference based on standard resampling methods useless already in simple estimation and testing settings …. To solve this problem, we introduce a robust fast resampling scheme that is applicable to a wide class of time series …

modern wavelet resampling technique called wavestrapping. Finally, the test is visibly more robust to size distortions …

resulting generalized non-parametric bounds tests with Monte Carlo resampling techniques. In sharp contrast to the usual tests …

resampling methods. It identifies common misinterpretations of computed quantities and discusses some of the comparative …

constructed by resampling data in a manner that does not depend on the unknown correlation structure of the data. We prove that …