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arXiv 1004.4955math.PR
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平稳序列随机过程的极限簇大小分布

On limiting cluster size distributions for processes of exceedances for stationary sequences

Konstantin Borovkov, Serguei Novak

摘要:

众所周知,在广泛的假设下,平稳序列对高水平的扰动的时标点过程随着水平的增长收敛于复合泊松过程。本文的目的是证明,对于任何给定的自然数上的分布G,存在一个平稳序列,对于该平稳序列,这个双态性的极限过程的复合律将与G相一致。

英文摘要:

It is well known that, under broad assumptions, the time-scaled point process of exceedances of a high level by a stationary sequence converges to a compound Poisson process as the level grows. The purpose of this note is to demonstrate that, for any given distribution G on the natural numbers, there exists a stationary sequence for which the compounding law of this limiting process of exceedances will coincide with G.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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