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  • 标题:Fractional iterated Ornstein-Uhlenbeck Processes
  • 本地全文:下载
  • 作者:Juan Kalemkerian ; José Rafael León
  • 期刊名称:Latin American Journal of Probability and Mathematical Statistics
  • 电子版ISSN:1980-0436
  • 出版年度:2019
  • 卷号:XVI
  • 期号:2
  • 页码:1105-1128
  • DOI:10.30757/ALEA.v16-41
  • 出版社:Instituto Nacional De Matemática Pura E Aplicada
  • 摘要:We present a Gaussian process that arises from the iteration of p fractionalOrnstein–Uhlenbeck processes generated by the same fractional Brownianmotion. When the values of the parameters defining the iteration are pairwisedistinct, this iteration results in a particular linear combination of those processes.Although for H > 1=2 each term of the iteration is a long memory process, we provethat when p  2 the process obtained has short memory. We prove that the localHölder index of the process is H, and obtain an explicit formula for the spectraldensity. We present a way to estimate the parameters and prove that the estimatorsare consistent and the results are asymptotically Gaussian. These processes can beused to model time series of long or short memory.
  • 关键词:Fractional Brownian motion; fractional Ornstein-Uhlenbeck process;long memory processes.
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