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

Published in Electronic Journal of Statistics, 2022

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

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Workshop, University 1, Department, 2015

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