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Precise Asymptotics in the Law of Iterated Logarithm for Moving Average Process under Dependence

机译:依赖条件下移动平均过程的迭代对数定律中的精确渐近性

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摘要

Let be a doubly infinite sequence of identically distributed and -mixing random variables, and let be an absolutely summable sequence of real numbers. In this paper, we get precise asymptotics in the law of the logarithm for linear process , , which extend Liu and Lin's (2006) result to moving average process under dependence assumption.
机译:设相等分布和混合的随机变量的双无限序列,并设实数的绝对可加序列。在本文中,我们在线性过程的对数定律中得到了精确的渐近性,这将Liu和Lin(2006)的结果扩展到依赖假设下的移动平均过程。

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