Averaging dynamics driven by fractional Brownian motion

M Hairer, XM Li - 2020 - projecteuclid.org
We consider slow/fast systems where the slow system is driven by fractional Brownian
motion with Hurst parameter H>12. We show that unlike in the case H=12, convergence to …

Averaging principle for distribution dependent stochastic differential equations driven by fractional Brownian motion and standard Brownian motion

G Shen, J Xiang, JL Wu - Journal of Differential Equations, 2022 - Elsevier
In this paper, we study distribution dependent stochastic differential equations driven
simultaneously by fractional Brownian motion with Hurst index H> 1 2 and standard …

Rough stochastic differential equations

PK Friz, A Hocquet, K Lê - arXiv preprint arXiv:2106.10340, 2021 - arxiv.org
We build a hybrid theory of rough stochastic analysis which seamlessly combines the
advantages of both It\^ o's stochastic and Lyons' rough differential equations. This gives a …

Mixed stochastic differential equations: averaging principle result

M Han, Y Xu, B Pei - Applied Mathematics Letters, 2021 - Elsevier
It is now known that, under a weaker condition than the Lipschitz one, the existence and
uniqueness result for solutions of stochastic differential equations driven simultaneously by …

Moderate deviation principle for multiscale systems driven by fractional Brownian motion

S Bourguin, T Dang, K Spiliopoulos - Journal of Theoretical Probability, 2024 - Springer
In this paper, we study the moderate deviations principle (MDP) for slow–fast stochastic
dynamical systems where the slow motion is governed by small fractional Brownian motion …

Parametric inference for stochastic differential equations driven by a mixed fractional Brownian motion with random effects based on discrete observations

BLS Prakasa Rao - Stochastic Analysis and Applications, 2022 - Taylor & Francis
Full article: Parametric inference for stochastic differential equations driven by a mixed
fractional Brownian motion with random effects based on discrete observations Skip to Main …

Nonparametric estimation for stochastic differential equations driven by mixed fractional Brownian motion with random effects

BLSP Rao - Sankhya A, 2021 - Springer
Nonparametric Estimation for Stochastic Differential Equations Driven by Mixed Fractional
Brownian Motion with Random Effects | SpringerLink Skip to main content Advertisement …

CEV model equipped with the long-memory

S Fallah, F Mehrdoust - Journal of Computational and Applied Mathematics, 2021 - Elsevier
In this paper, we define the mixed fractional Constant Elasticity of Variance (CEV) process
exploiting a transfer equation. This transformation enables us to shift non-linearity from the …

A class of fractional stochastic differential equations with a soft wall

K Kubilius, A Medžiūnas - Fractal and Fractional, 2023 - mdpi.com
In this paper we are interested in fractional stochactic differential equations (SDEs) with a
soft wall. What do we mean by such a type of equation? It has been established that SDE …

[PDF][PDF] Rate of convergence of Euler approximation of time-dependent mixed SDEs driven by Brownian motions and fractional Brownian motions

W Liu, Y Jiang, Z Li - AIMS Math, 2020 - aimspress.com
Rate of convergence of Euler approximation of time-dependent mixed SDEs Page 1 http://www.aimspress.com/journal/Math
AIMS Mathematics, 5(3): 2163–2195. DOI: 10.3934/math.2020144 Received: 22 October …