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The quasi maximum likelihood approach to statistical inference on a nonstationary multivariate ARFIMA process

机译:非平稳多元ARFIMA过程的拟最大似然方法统计推断

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摘要

We estimate the parameters of a nonstationary multivariate ARFIMA (Auto-Regressive Fractionally Integrated Moving Average) process by the quasi likelihood approach. Then, we define the pseudo-spectral density of the process. Under some assumptions, we establish consistency, asymptotic normality.
机译:我们通过拟似然法估计了非平稳多元ARFIMA(自回归分数积分移动平均)过程的参数。然后,我们定义了过程的伪谱密度。在某些假设下,我们建立一致性,渐近正态性。

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