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  • 标题:Chover-Type Laws of the Iterated Logarithm for Kesten-Spitzer Random Walks in Random Sceneries Belonging to the Domain of Stable Attraction
  • 本地全文:下载
  • 作者:Wensheng Wang ; Anwei Zhu
  • 期刊名称:Discrete Dynamics in Nature and Society
  • 印刷版ISSN:1026-0226
  • 电子版ISSN:1607-887X
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/8968947
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Let be a sequence of real valued random variables, and . Let be a sequence of real valued random variables which are independent of ’s. Denote by Kesten-Spitzer random walk in random scenery, where means the unique integer satisfying . It is assumed that ’s belong to the domain of attraction of a stable law with index . In this paper, by employing conditional argument, we investigate large deviation inequalities, some sufficient conditions for Chover-type laws of the iterated logarithm and the cluster set for random walk in random scenery . The obtained results supplement to some corresponding results in the literature.
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