activity
20082026
most citedBackward Stochastic Differential Equations Driven by G-Brownian Motion

23 citations · 127 across the 56 of their papers we have counts for

collaborators
Showing math.PRShow all

21 papers · 1 filter

math.PR2022★ 1 cited

BSDEs driven by G-Brownian motion under degenerate case and its application to the regularity of fully nonlinear PDEs

Mingshang Hu, Shaolin Ji, Xiaojuan Li

In this paper, we obtain the existence and uniqueness theorem for backward stochastic differential equation driven by G-Brownian motion (G-BSDE) under degenerate case. Moreover, we…

math.PR2019

The Neyman-Pearson lemma for convex expectations

Sun Chuanfeng, Ji Shaolin

We study the Neyman-Pearson theory for convex expectations (convex risk measures) on . Without assuming that the level sets of penalty functions are weakly compact,…

math.PR2019★ 2 cited

The Neyman-Pearson lemma for convex expectations

Chuanfeng Sun, Shaolin Ji

We study the Neyman-Pearson problem for convex expectations on L^{\infty}(μ). The existence of the optimal test is given. Without assuming that the level sets of penalty functions…

math.PR2019

A filtering problem with uncertainty in observation

Shaolin Ji, Chuiliu Kong, Chuanfeng Sun

This paper is concerned with a generalized Kalman-Bucy filtering model and corresponding robust problem under model uncertainty. We find that this robust problem is equivalent to c…

math.PR2019★ 1 cited

Solvability of finite state forward-backward stochastic difference equations

Shaolin Ji, Haodong Liu

In this paper, we consider the solvability problems for the fully coupled forward-backward stochastic difference equations (FBSΔEs) on spaces related to discrete time, finite state…

math.PR2019★ 3 cited

The minimum mean square estimator of integrable variables under sublinear operators

Shaolin Ji, Chuiliu Kong, Chuanfeng Sun

In this paper, we study the minimum mean square estimator for non-bounded random variables under sublinear operators. The existence and uniqueness of the minimum mean square estima…