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Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-13
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Xiaoyan& Chen, Zengjing. 2014. Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1014432
Modern Language Association (MLA)
Chen, Xiaoyan& Chen, Zengjing. Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1014432
American Medical Association (AMA)
Chen, Xiaoyan& Chen, Zengjing. Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1014432
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014432