Research article

Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations

  • Received: 12 November 2022 Revised: 18 January 2023 Accepted: 28 January 2023 Published: 06 February 2023
  • MSC : 60F15, 60F05

  • In this article, we study the complete convergence and the complete moment convergence for negatively dependent (ND) random variables under sub-linear expectations. Under proper conditions of the moment of random variables, we establish the complete convergence and the complete moment convergence. As applications, we obtain the Marcinkiewcz-Zygmund type strong law of large numbers of ND random variables under sub-linear expectations. The results here generalize the corresponding ones in classic probability space to those under sub-linear expectations.

    Citation: Mingzhou Xu, Xuhang Kong. Note on complete convergence and complete moment convergence for negatively dependent random variables under sub-linear expectations[J]. AIMS Mathematics, 2023, 8(4): 8504-8521. doi: 10.3934/math.2023428

    Related Papers:

  • In this article, we study the complete convergence and the complete moment convergence for negatively dependent (ND) random variables under sub-linear expectations. Under proper conditions of the moment of random variables, we establish the complete convergence and the complete moment convergence. As applications, we obtain the Marcinkiewcz-Zygmund type strong law of large numbers of ND random variables under sub-linear expectations. The results here generalize the corresponding ones in classic probability space to those under sub-linear expectations.



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