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分数异方差时间序列模型解释非均匀膜受体扩散。

Inhomogeneous membrane receptor diffusion explained by a fractional heteroscedastic time series model.

机构信息

Faculty of Pure and Applied Mathematics, Hugo Steinhaus Center, Wrocław University of Science and Technology, Wyspiánskiego 27, 50-370 Wrocław, Poland.

出版信息

Phys Chem Chem Phys. 2019 Feb 6;21(6):3114-3121. doi: 10.1039/c8cp06781c.

Abstract

Single particle tracking experiments have recently uncovered that the motion of cell membrane components can undergo changes of diffusivity as a result of the heterogeneous environment, producing subdiffusion and nonergodic behavior. In this paper, we show that an autoregressive fractionally integrated moving average (ARFIMA) with noise given by generalized autoregressive conditional heteroscedasticity (GARCH) can describe inhomogeneous diffusion in the cell membrane, where the ARFIMA process models anomalous diffusion and the GARCH process explains a fluctuating diffusion parameter.

摘要

单颗粒跟踪实验最近揭示,细胞膜成分的运动由于不均匀的环境可以经历扩散率的变化,产生亚扩散和非遍历行为。在本文中,我们表明,具有广义自回归条件异方差(GARCH)给出的噪声的自回归分数阶积分移动平均(ARFIMA)可以描述细胞膜中的非均匀扩散,其中 ARFIMA 过程模型异常扩散,GARCH 过程解释了扩散参数的波动。

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