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20052026
most citedMean-field backward stochastic differential equations: A limit approach

322 citations · 1.6k across the 59 of their papers we have counts for

collaborators

61 papers

cs.CE2026

Responsive Distribution of G-normal Random Variables

Ziting Pei, Shige Peng, Xingye Yue +1

A -normal random variable does not admit a unique probability law due to volatility uncertainty. For a given test function $ϕ…

math.PR2024

Ergodicity and Mixing of Sublinear Expectation System and Applications

Wen Huang, Chunlin Liu, Shige Peng +1

We utilize an ergodic theory framework to explore sublinear expectation theory. Specifically, we investigate the pointwise Birkhoff's ergodic theorem for invariant sublinear expect…

math.PR2024

Stochastic heat equations driven by space-time -white noise under sublinear expectation

Xiaojun Ji, Shige Peng

In this paper, we study the stochastic heat equation driven by a multiplicative space-time -white noise within the framework of sublinear expectations. The existence and uniquen…

q-fin.RM2024

Uncertainty in the financial market and application to forecastabnormal financial fluctuations

Shige Peng, Shuzhen Yang, Wenqing Zhang

The integration and innovation of finance and technology have gradually transformed the financial system into a complex one. Analyses of the causesd of abnormal fluctuations in the…

math.PR2022

A universal robust limit theorem for nonlinear Lévy processes under sublinear expectation

Mingshang Hu, Lianzi Jiang, Gechun Liang +1

This article establishes a universal robust limit theorem under a sublinear expectation framework. Under moment and consistency conditions, we show that, for , the i.i.d…

math.OC2022

A deep learning method for solving stochastic optimal control problems driven by fully-coupled FBSDEs

Shaolin Ji, Shige Peng, Ying Peng +1

In this paper,we mainly focus on the numerical solution of high-dimensional stochastic optimal control problem driven by fully-coupled forward-backward stochastic differential equa…