  Bootstrap for nonlinear statistics like U-statistics of dependent data has
been studied by several authors. This is typically done by producing a
bootstrap version of the sample and plugging it into the statistic. We suggest
an alternative approach of getting a bootstrap version of U-statistics, which
can be described as a compromise between bootstrap and subsampling. We will
show the consistency of the new method and compare its finite sample properties
in a simulation study.
