Moment bounds for IID sequences under sublinear expectations

Abstract

In this paper, with the notion of independent identically distributed (IID) random variables under sublinear expectations introduced by Peng [7-9], we investigate moment bounds for IID sequences under sublinear expectations. We can obtain a moment inequality for a sequence of IID random variables under sublinear expectations. As an application of this inequality, we get the following result: For any continuous function $ϕ$ satisfying the growth condition $|ϕ(x)|\leq C(1+|x|^p)$ for some $C>0$, $p\geq1$ depending on $ϕ$, central limit theorem under sublinear expectations obtained by Peng [8] still holds.