Properties and distribution of the dynamical functional for the fractional Gaussian noise
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摘要
The fractional Brownian motion and its increment process, the fractional Gaussian noise (fGn), are highly popular models for data exhibiting anomalous diffusion. In this paper, an explicit formula for the dynamical functional, a tool for testing ε-ergodicity breaking and a statistic helpful in the process identification, is provided for the fractional Gaussian noise. Its basic characteristics are derived and the distribution of its single trajectory estimator is studied. Additionally, the sensibility of the convergence of the dynamical functional to the Hurst parameter H is analysed.
论文关键词:Stochastic processes,Dynamical functional,Fractional Gaussian noise,Ergodicity breaking,Ergodicity
论文评审过程:Received 2 December 2018, Revised 7 March 2019, Accepted 18 March 2019, Available online 1 April 2019, Version of Record 1 April 2019.
论文官网地址:https://doi.org/10.1016/j.amc.2019.03.038