activity
20052009
most citedMean-field backward stochastic differential equations: A limit approach

322 citations · 795 across the 14 of their papers we have counts for

collaborators
Showing 2007 · math.PRShow all

5 papers · 2 filters

math.PR2007157 cited

G-Brownian Motion and Dynamic Risk Measure under Volatility Uncertainty

Shige Peng

We introduce a new notion of G-normal distributions. This will bring us to a new framework of stochastic calculus of Ito's type (Ito's integral, Ito's formula, Ito's equation) thro…

math.PR20073 cited

Mean-Field Backward Stochastic Differential Equations and Related Partial Differential Equations

Rainer Buckdahn, Juan Li, Shige Peng

In [5] the authors obtained Mean-Field backward stochastic differential equations (BSDE) associated with a Mean-field stochastic differential equation (SDE) in a natural way as lim…

math.PR2007322 cited

Mean-field backward stochastic differential equations: A limit approach

Rainer Buckdahn, Boualem Djehiche, Juan Li +1

Mathematical mean-field approaches play an important role in different fields of Physics and Chemistry, but have found in recent works also their application in Economics, Finance…

math.PR20071 cited

Representation Theorems for Quadratic -Consistent Nonlinear Expectations

Ying Hu, Jin Ma, Shige Peng +1

In this paper we extend the notion of ``filtration-consistent nonlinear expectation" (or "-consistent nonlinear expectation") to the case when it is allowed to be dominat…

math.PR200757 cited

Law of Large Numbers and Central Limit Theorem under Nonlinear Expectations

Shige Peng

The law of large numbers (LLN) and central limit theorem (CLT) are long and widely been known as two fundamental results in probability theory. Recently problems of model uncertain…