A strong law of large number for negatively dependent and non identical distributed random variables in the framework of sublinear expectation
Miaomiao Gao,
Feng Hu,
Jingbo Sun and
Zhaojun Zong
Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 20, 5058-5073
Abstract:
In this article, in the framework of sublinear expectation initiated by Peng, we derive a strong law of large numbers (SLLN) for negatively dependent and non identical distributed random variables. This result includes and extends some existing results. Furthermore, we give two examples of our result for applications.
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:48:y:2019:i:20:p:5058-5073
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DOI: 10.1080/03610926.2018.1508708
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