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Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability

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  • Xiaoyan Chen
  • Zengjing Chen

Abstract

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.

Suggested Citation

  • Xiaoyan Chen & Zengjing Chen, 2014. "Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:645947
    DOI: 10.1155/2014/645947
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    References listed on IDEAS

    as
    1. Marinacci, Massimo, 1999. "Limit Laws for Non-additive Probabilities and Their Frequentist Interpretation," Journal of Economic Theory, Elsevier, vol. 84(2), pages 145-195, February.
    2. N. El Karoui & S. Peng & M. C. Quenez, 1997. "Backward Stochastic Differential Equations in Finance," Mathematical Finance, Wiley Blackwell, vol. 7(1), pages 1-71, January.
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