arXiv:1104.5295 [math.PR]AbstractReferencesReviewsResources
Moment bounds for IID sequences under sublinear expectations
Published 2011-04-28Version 1
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 $\phi$ satisfying the growth condition $|\phi(x)|\leq C(1+|x|^p)$ for some $C>0$, $p\geq1$ depending on $\phi$, central limit theorem under sublinear expectations obtained by Peng [8] still holds.
Categories: math.PR
Keywords: sublinear expectations, moment bounds, iid sequences, iid random variables, central limit theorem
Tags: journal article
Related articles: Most relevant | Search more
Optimal On-Line Selection of an Alternating Subsequence: A Central Limit Theorem
arXiv:math/0702358 [math.PR] (Published 2007-02-13)
Law of Large Numbers and Central Limit Theorem under Nonlinear Expectations
Central Limit Theorem for a Class of Relativistic Diffusions