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 …
simultaneously by fractional Brownian motion with Hurst index H> 1 2 and standard …
Rough stochastic differential equations
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 …
advantages of both It\^ o's stochastic and Lyons' rough differential equations. This gives a …
Mixed stochastic differential equations: averaging principle result
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 …
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 …
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 …
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 …
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 …
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 …
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 …
AIMS Mathematics, 5(3): 2163–2195. DOI: 10.3934/math.2020144 Received: 22 October …