valid inference can be drawn by the use of the subsampling method. Moreover, the method can even be extended to situations … model becomes difficult and subsampling can be used advantageously there as well. In addition, we consider an hypothesis …

are constructed using model-free methods based on subsampling. …

to be asymptotically conservative. The power of GMS tests is compared to that of subsampling, m out of n bootstrap, and … to have asymptotic power that dominates that of subsampling, m out of n bootstrap, and PA tests. Subsampling and m out of …

identified. For a specified class of test statistics, this paper establishes the uniform asymptotic validity of subsampling, m …

We compute the breakdown point of the subsampling quantile of a general statistic, and show that it is increasing in … the subsampling block size and the breakdown point of the statistic. These results imply fragile subsampling quantiles for … moderate block sizes, also when subsampling procedures are applied to robust statistics. This instability is inherited by data …

We characterize the robustness of subsampling procedures by deriving a formula for the breakdown point of subsampling … quantiles. This breakdown point can be very low for moderate subsampling block sizes, which implies the fragility of subsampling … can be applied instead. To overcome these robustness problems, we introduce a consistent robust subsampling procedure for …

or subsampling. The method admits prospects involving infinite as well as finite dimensional unknown parameters, so that …