科研之友
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摘要
Consider a random walk S-n = Sigma(n)(i=0) X-i with negative drift. This paper deals with upper bounds for the maximum M = max(n >= 1) S-n of this random walk in different settings of power moment existences. As is usual for deriving upper bounds, we truncate summands. Therefore, we use an approach of splitting the time axis by stopping times into intervals of random but finite length and then choose a level of truncation on each interval. Hereby, we can reduce the problem of finding upper bounds for M to the problem of finding upper bounds for M-tau = max(n <=tau) S-n. In addition we test our inequalities in the heavy traffic regime in the case of regularly varying tails.
- 出版日期2013-12
