activity
20052022
most citedStrong laws of large numbers for sub-linear expectations

110 citations · 275 across the 13 of their papers we have counts for

collaborators

13 papers

econ.TH2022

Approximate optimality and the risk/reward tradeoff in a class of bandit problems

Zengjing Chen, Larry G. Epstein, Guodong Zhang

This paper studies a sequential decision problem where payoff distributions are known and where the riskiness of payoffs matters. Equivalently, it studies sequential choice from a…

math.PR2022★ 5 cited

Strategy-Driven Limit Theorems Associated Bandit Problems

Zengjing Chen, Shui Feng, Guodong Zhang

Motivated by the study of asymptotic behaviour of the bandit problems, we obtain several strategy-driven limit theorems including the law of large numbers, the large deviation prin…

math.PR2021

A Central Limit Theorem, Loss Aversion and Multi-Armed Bandits

Zengjing Chen, Larry G. Epstein, Guodong Zhang

This paper studies a multi-armed bandit problem where the decision-maker is loss averse, in particular she is risk averse in the domain of gains and risk loving in the domain of lo…

math.PR2020★ 1 cited

A Central Limit Theorem for Sets of Probability Measures

Zengjing Chen, Larry G. Epstein

We prove a central limit theorem for a sequence of random variables whose means are ambiguous and vary in an unstructured way. Their joint distribution is described by a set of mea…

math.PR2020★ 7 cited

Explicit solutions for a class of nonlinear backward stochastic differential equations and their nodal sets

Zengjing Chen, Shuhui Liu, Zhongmin Qian +1

In this paper, we investigate a class of nonlinear backward stochastic differential equations (BSDEs) arising from financial economics, and give specific information about the noda…

math.ST2019

Non-uniform Berry-Esseen Bound by Unbounded Exchangeable Pair Approach

Dali Liu, Zheng Li, Hanchao Wang +1

In this paper, a new technique is introduced to obtain non-uniform Berry-Esseen bounds of normal and nonnormal approximation for unbounded exchangeable pairs. This technique does n…