7 citations · 8 across the 5 of their papers we have counts for
5 papers
Averaging principle for semilinear slow-fast rough partial differential equations
Miaomiao Li, Yunzhang Li, Bin Pei +1
In this paper, we investigate the averaging principle for a class of semilinear slow-fast partial differential equations driven by finite-dimensional rough multiplicative noise. Sp…
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
Xiang Li, Zhenyu Li, Chen Shi +5
The task of financial analysis primarily encompasses two key areas: stock trend prediction and the corresponding financial question answering. Currently, machine learning and deep…
Almost Sure Averaging for Fast-slow Stochastic Differential Equations via Controlled Rough Path
Bin Pei, Robert Hesse, Bjoern Schmalfuss +1
This paper establishes the averaging method to a coupled system consisting of two stochastic differential equations which has a slow component driven by fractional Brownian motion…
Almost Sure Averaging for Evolution Equations driven by fractional Brownian motions
Bin Pei, Bjoern Schmalfuss, Yong Xu
We apply the averaging method to a coupled system consisting of two evolution equations which has a slow component driven by fractional Brownian motion (FBM) with the Hurst paramet…
Averaging principle of stochastic Burgers equation driven by Lévy processes
Hongge Yue, Yong Xu, Ruifang Wang +1
We are concerned about the averaging principle for the stochastic Burgers equation with slow-fast time scale. This slow-fast system is driven by Lévy processes. Under some appropri…