Z. Chen and P. Wu, “Strong Laws of Large Numbers for Bernoulli Experiments under Ambiguity,” Nonlinear Mathematics for Uncertainty and Its Applications, Advances in Intelligent and Soft Computing, Vol. 100, 2011, pp. 19-30. http://link.springer.com/chapter/10.1007%2F978-3-642-22833-9_2?LI=true

has been cited by the following article:

• TITLE: Strong Law of Large Numbers under an Upper Probability

  AUTHORS: Xiaoyan Chen

  KEYWORDS: Strong Law of Large Numbers; Upper Probability; Weakly Compact; Independence; Quasi-Continuous

  JOURNAL NAME: Applied Mathematics, Vol.3 No.12A, December 31, 2012

  ABSTRACT: Strong law of large numbers is a fundamental theory in probability and statistics. When the measure tool is nonadditive, this law is very different from additive case. In 2010 Chen investigated the strong law of large numbers under upper probabilityVby assumingVis continuous. This assumption is very strong. Upper probabilities may not be continuous. In this paper we prove the strong law of large numbers for an upper probability without the continuity assumption whereby random variables are quasi-continuous and the upper probability is generated by a weakly compact family of probabilities on a complete and separable metric sample space.