Persistence of heavy-tailed sample averages: principle of infinitely many big jumps
Autor: | Bhattacharya, Ayan, Palmowski, Zbigniew, Zwart, Bert |
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Rok vydání: | 2019 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | We consider the sample average of a centered random walk in $\mathbb{R}^d$ with regularly varying step size distribution. For the first exit time from a compact convex set $A$ not containing the origin, we show that its tail is of lognormal type. Moreover, we show that the typical way for a large exit time to occur is by having a number of jumps growing logarithmically in the scaling parameter. Comment: 30 pages, 2 figures |
Databáze: | arXiv |
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