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arXiv 1209.0137math.PR
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随机比的几乎几乎必然中心极限定理及其对分数阶Ornstein-Uhlenbeck过程LSE的应用

Almost sure central limit theorems for random ratios and applications to LSE for fractional Ornstein-Uhlenbeck processes

Peggy Cénac, Khalifa Es-Sebaiy

摘要:

研究了一类随机变量序列的几乎必然极限定理,该序列具有两项之比的形式,使得分子满足该极限定理,分母是几乎必然收敛于1的正项。这一结果导出了分数布朗运动驱动的Ornstein-Uhlenbeck过程的最小二乘估计的ASCLT。

英文摘要:

We investigate an almost sure limit theorem (ASCLT) for sequences of random variables having the form of a ratio of two terms such that the numerator satisfies the ASCLT and the denominator is a positive term which converges almost surely to 1. This result leads to the ASCLT for least square estimators for Ornstein-Uhlenbeck process driven by fractional Brownian motion.

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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