Weak and strong limit theorems for stochastic processes under nonadditive probability
type: Item
instance of: scholarly article
title: Weak and strong limit theorems for stochastic processes under nonadditive probability
zbMATH Open document ID: 1474.60053
DOI: 10.1155/2014/645947
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 60F05
Mathematics Subject Classification ID: 60F15
Mathematics Subject Classification ID: 60G50
zbMATH DE Number: 7022816
author: Xiaoyan Chen
author: Zengjing Chen
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/645947
OpenAlex ID: W2045641114
Wikidata QID: Q59040324
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description: scientific article; zbMATH DE number 7022816