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Random Walk with a Heavy-Tailed Jump Distribution.

机译:具有重尾跳跃分布的随机游走。

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摘要

The classical random walk of which the one-step displacement variable u has a first finite negative moment is considered. The R.W. possesses a unique stationary distribution; x is a random variable with this distribution. It is assumed that the righthand and/or the lefthand tail of the distribution of u are heavy-tailed. For the type of heavy-tailed distribution considered in this study a contraction factor 'delta' (a) exists with 'delta' (a) (down arrow) 0 for a (up arrow) 1, and a (up arrow)1 is equivalent with E (u) (up arrow) 0. It is shown that (delta) (a) x converges in distribution for 'a' (up arrow) 1.

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