vix.ing · top · new · best · stats

A New Central Limit Theorem under Sublinear Expectations

2008/03/18 by Shigē Péng, Shige Peng, Peng, Shige · 13 citations
Decision Sciences · Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #60H05 #60H10 #60H30 #FOS: Mathematics #Probability (math.PR) #Risk and Portfolio Optimization #Statistical Mechanics and Entropy #Statistics Theory (math.ST) #Stochastic processes and financial applications #math.PR #math.ST #msc:60H05 #msc:60H10 #msc:60H30 #stat.TH

paper · pdf · doi:10.48550/arxiv.0803.2656

arxiv created 2008/03/18 · openalex publication_date 2008/03/18 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We describe a new framework of a sublinear expectation space and the related notions and results of distributions, independence. A new notion of G-distributions is introduced which generalizes our G-normal-distribution in the sense that mean-uncertainty can be also described. W present our new result of central limit theorem under sublinear expectation. This theorem can be also regarded as a generalization of the law of large number in the case of mean-uncertainty.

Citations

Cited by

Related