English

Moment bounds for IID sequences under sublinear expectations

Probability 2015-05-28 v1

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\phi satisfying the growth condition ϕ(x)C(1+xp)|\phi(x)|\leq C(1+|x|^p) for some C>0C>0, p1p\geq1 depending on ϕ\phi, central limit theorem under sublinear expectations obtained by Peng [8] still holds.

Keywords

Cite

@article{arxiv.1104.5295,
  title  = {Moment bounds for IID sequences under sublinear expectations},
  author = {Feng Hu},
  journal= {arXiv preprint arXiv:1104.5295},
  year   = {2015}
}
R2 v1 2026-06-21T17:59:39.311Z