activity
20122025
most citedImproving Value-at-Risk prediction under model uncertainty

57 citations · 70 across the 31 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

math.PR2013

Solutions for Functional Fully Coupled Forward-Backward Stochastic Differential Equations

Shaolin Ji, Shuzhen Yang

In this paper, we study a functional fully coupled forward-backward stochastic differential equations (FBSDEs). Under a new type of integral Lipschitz and monotonicity conditions,…

math.OC2013★ 3 cited

A stochastic recursive optimal control problem under the G-expectation framework

Mingshang Hu, Shaolin Ji, Shuzhen Yang

In this paper, we study a stochastic recursive optimal control problem in which the objective functional is described by the solution of a backward stochastic differential equation…

math.ST2013★ 8 cited

Sublinear expectation linear regression

Lu Lin, Yufeng Shi, Xin Wang +1

Nonlinear expectation, including sublinear expectation as its special case, is a new and original framework of probability theory and has potential applications in some scientific…

math.ST2013

A New Distribution-Random Limit Normal Distribution

Xiaolin Gong, Shuzhen Yang

This paper introduces a new distribution to improve tail risk modeling. Based on the classical normal distribution, we define a new distribution by a series of heat equations. Then…

math.NA2013

The Numerical Properties of G-heat equation and Related Application

Xiaolin Gong, Shuzhen Yang

In this paper, we consider the numerical convergence of G-heat equation which was first introduced by Peng. The G-heat equation extends the classical heat equation with uncertain v…

math.PR2013

The Dupire derivatives and Fréchet derivatives on continuous pathes

Shaolin Ji, Shuzhen Yang

In this paper, we study the relation between Fréchet derivatives and Dupire derivatives, in which the latter are recently introduced by Dupire [4]. After introducing the definition…