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arXiv 0811.3460math.PR
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Cramer破产定理的对数形式对某些FARIMA及相关过程的推广

An extension of a logarithmic form of Cramer's ruin theorem to some FARIMA and related processes

Ph. Barbe, W. P. McCormick

摘要:

Cramer定理提供了负漂移和增量的随机游动的最大值的尾概率的估计,该随机游动在原点的邻域中具有有限的矩母函数。这类(g,F)过程以自然的方式推广了时间序列分析中使用的随机游动和分数ARIMA模型。对于那些(g,F)-过程的负漂移,我们得到了对数估计的尾部概率的最大值,条件下相媲美Cramer的。此外,我们展示了最有可能的路径,以及最有可能的行为的创新导致一个大的最大值。

英文摘要:

Cramer's theorem provides an estimate for the tail probability of the maximum of a random walk with negative drift and increments having a moment generating function finite in a neighborhood of the origin. The class of (g,F)-processes generalizes in a natural way random walks and fractional ARIMA models used in time series analysis. For those (g,F)-processes with negative drift, we obtain a logarithmic estimate of the tail probability of their maximum, under conditions comparable to Cramer's. Furthermore, we exhibit the most likely paths as well as the most likely behavior of the innovations leading to a large maximum.

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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