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arXiv 0802.3638math.PR
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Veraverbeke定理的推广--关于某些具有负漂移和重尾新息过程的极大值

Veraverbeke's theorem at large - On the maximum of some processes with negative drift and heavy tail innovations

Philippe Barbe, Bill McCormick

摘要:

Veraverbeke(1977)定理将具有负漂移的随机游动的上确界分布的尾部与其增量分布的尾部联系起来,或者等价地,将具有重尾增量的中心随机游动击中移动线性边界的概率联系起来。我们研究更一般的过程类似的问题。特别是,我们推导出一个模拟的Veraverbeke定理的分数集成ARMA模型没有史前的影响,当创新有规律地变化的尾巴。此外,我们证明了一些极限定理的轨迹的过程,条件上的一个大的最大值。这些结果是通过使用一般的证明方案,我们提出了一些细节,并应在其他相关问题的价值。

英文摘要:

Veraverbeke's (1977) theorem relates the tail of the distribution of the supremum of a random walk with negative drift to the tail of the distribution of its increments, or equivalently, the probability that a centered random walk with heavy-tail increments hits a moving linear boundary. We study similar problems for more general processes. In particular, we derive an analogue of Veraverbeke's theorem for fractional integrated ARMA models without prehistoric influence, when the innovations have regularly varying tails. Furthermore, we prove some limit theorems for the trajectory of the process, conditionally on a large maximum. Those results are obtained by using a general scheme of proof which we present in some detail and should be of value in other related problems.

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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