Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability

This paper extends laws of large numbers under upper probability to sequences of stochastic processes generated by linear interpolation. This extension characterizes the relation between sequences of stochastic processes and subsets of continuous function space in the framework of upper probability....

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Main Authors: Xiaoyan Chen, Zengjing Chen
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/645947
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author Xiaoyan Chen
Zengjing Chen
author_facet Xiaoyan Chen
Zengjing Chen
author_sort Xiaoyan Chen
collection DOAJ
description This paper extends laws of large numbers under upper probability to sequences of stochastic processes generated by linear interpolation. This extension characterizes the relation between sequences of stochastic processes and subsets of continuous function space in the framework of upper probability. Limit results for sequences of functional random variables and some useful inequalities are also obtained as applications.
format Article
id doaj-art-c194035c5e6944f0b8bd4e90f95d5d9d
institution DOAJ
issn 1085-3375
1687-0409
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-c194035c5e6944f0b8bd4e90f95d5d9d2025-08-20T03:23:30ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/645947645947Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive ProbabilityXiaoyan Chen0Zengjing Chen1Graduate Department of Financial Engineering, Ajou University, Suwon 443-749, Republic of KoreaSchool of Mathematics, Shandong University, Jinan 250100, ChinaThis paper extends laws of large numbers under upper probability to sequences of stochastic processes generated by linear interpolation. This extension characterizes the relation between sequences of stochastic processes and subsets of continuous function space in the framework of upper probability. Limit results for sequences of functional random variables and some useful inequalities are also obtained as applications.http://dx.doi.org/10.1155/2014/645947
spellingShingle Xiaoyan Chen
Zengjing Chen
Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability
Abstract and Applied Analysis
title Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability
title_full Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability
title_fullStr Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability
title_full_unstemmed Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability
title_short Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability
title_sort weak and strong limit theorems for stochastic processes under nonadditive probability
url http://dx.doi.org/10.1155/2014/645947
work_keys_str_mv AT xiaoyanchen weakandstronglimittheoremsforstochasticprocessesundernonadditiveprobability
AT zengjingchen weakandstronglimittheoremsforstochasticprocessesundernonadditiveprobability