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  • 标题:Parameter estimation for nonergodic Ornstein-Uhlenbeck process driven by the weighted fractional Brownian motion
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  • 作者:Panhong Cheng ; Guangjun Shen ; Qin Chen
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2017
  • 卷号:2017
  • 期号:1
  • 页码:366
  • DOI:10.1186/s13662-017-1420-y
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In this paper, we consider the nonergodic Ornstein-Uhlenbeck process X 0 = 0 , d X t = θ X t d t + d B t a , b , t ≥ 0 , $$ X_(=0, \quad\quad dX_{t}=\theta X_{t} \,dt+dB_{t}^{a,b},\quad t\geq0, $$ driven by the weighted fractional Brownian motion B t a , b $B_{t}^{a,b}$ with parameter a and b. Our goal is to estimate the unknown parameter θ > 0 $\theta>0$ based on the discrete observations of the process. We construct two estimators θ ˆ n $\hat{\theta}_{n}$ and θ ˇ n $\check{\theta}_{n}$ of θ and show their strong consistency and the rate consistency.
  • 关键词:parameter estimation ; Ornstein-Uhlenbeck process ; weighted fractional Brownian motion ; discrete observations
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