Bootstrap for U-Statistics: A new approach

Autor: Sharipov, Olimjon Sh., Tewes, Johannes, Wendler, Martin
Rok vydání: 2015
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv