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  • 标题:Persistence exponent for random processes in Brownian scenery
  • 本地全文:下载
  • 作者:Fabienne Castell
  • 期刊名称:Latin American Journal of Probability and Mathematical Statistics
  • 电子版ISSN:1980-0436
  • 出版年度:2016
  • 卷号:XIII
  • 页码:79-94
  • 出版社:Instituto Nacional De Matemática Pura E Aplicada
  • 摘要:In this paper we consider the persistence properties of random processesin Brownian scenery, which are examples of non-Markovian and non-Gaussian processes.More precisely we study the asymptotic behaviour for large T, of the probabilityP[supt2[0;T ] t  1] where t =RR Lt(x)dW(x): Here W = fW(x); x 2 Rgis a two-sided standard real Brownian motion and fLt(x); x 2 R; t  0g is the localtime of some self-similar random process Y , independent from the process W. Wethus generalize the results of Castell et al. (2013) where the increments of Y wereassumed to be independent.
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