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Stochastic differential calculus for Gaussian and non-Gaussian noises: A critical review

机译:高斯和非高斯噪声的随机微分算术:一项重要综述

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In this paper a review of the literature works devoted to the study of stochastic differential equations (SDEs) subjected to Gaussian and non-Gaussian white noises and to fractional Brownian noises is given. In these cases, particular attention must be paid in treating the SDEs because the classical rules of the differential calculus, as the Newton-Leibnitz one, cannot be applied or are applicable with many difficulties. Here all the principal approaches solving the SDEs are reported for any kind of noise, highlighting the negative and positive properties of each one and making the comparisons, where it is possible. (C) 2017 Elsevier B.V. All rights reserved.
机译:本文对致力于高斯和非高斯白噪声以及分数布朗噪声的随机微分方程(SDE)的研究进行了综述。在这些情况下,在处理SDE时必须特别注意,因为微分演算的经典规则(如牛顿-莱布尼茨规则)无法应用或难以应用。此处报告了解决SDE的所有主要方法,以解决任何类型的噪声,强调每种方法的负面和正面特性,并在可能的情况下进行比较。 (C)2017 Elsevier B.V.保留所有权利。

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