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Subsampling Tests For The Mean Change Point With Heavy-tailed Innovations

机译:带有重尾创新的均值变化点的二次抽样测试

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The quest of the mean change point with innovations in the domain of attraction of a κ-stable law appears to still be ongoing. We adopt the residual CUSUM of squares test (RCUSQ) and derive its null asymptotic distribution, which is dependent on stable index κ. Then a residual-based subsampling is proposed to approximate the null distribution when stable index κ is unknown. Consistency and the rate of convergence for the estimated change point are also obtained. We establish the asymptotic validity of this method and assess its performance both theoretically and numerically.
机译:在κ稳定定律的吸引域中进行创新来寻求均值变化点似乎仍在进行中。我们采用平方检验的残差CUSUM(RCUSQ)并得出其零渐近分布,这取决于稳定指数κ。然后提出了一种基于残差的二次采样,以在稳定索引κ未知时近似零值分布。还可以获得估计的更改点的一致性和收敛速度。我们建立了该方法的渐近有效性,并从理论和数值上评估了其性能。

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