Change-point detection based on weighted two-sample U-statistics

We investigate the large-sample behavior of change-point tests based on weighted two-sample U-statistics, in case short-range dependent data. Under some mild mixing conditions, we establish convergence test statistic to an extreme value distribution. A simulation study shows that are superior non-weighted versions when occurs near boundary time interval, while they loose power center.