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Expression for mathematical models of time series data in dual space — Expression of balance function during galvanic vestibular stimulation

机译:双空间中时间序列数据的数学模型的表达—电前庭刺激期间平衡函数的表达

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The authors proposed a method to construct a stochastic differential equation describing a non-Gaussian process in stationary states and could obtain a static potential function in the meaning of the temporal average. However, it was suggested that the potential function changes temporally on the basis of some analysis for the climatic change. In this paper, we regard the changes as a motion process in a dual space composed of coefficients of the potential function and estimate the number of unobservable variables.
机译:作者提出了一种构造静态微分方程的方法,该方程描述了稳态下的非高斯过程,并且可以获得时间平均意义上的静态势函数。但是,建议在对气候变化进行分析的基础上,潜在功能随时间发生变化。在本文中,我们将这些变化视为由势函数系数组成的对偶空间中的运动过程,并估计了不可观测变量的数量。

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