• 제목/요약/키워드: Widely orthant dependent random variables

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CONVERGENCE PROPERTIES FOR THE PARTIAL SUMS OF WIDELY ORTHANT DEPENDENT RANDOM VARIABLES UNDER SOME INTEGRABLE ASSUMPTIONS AND THEIR APPLICATIONS

  • He, Yongping;Wang, Xuejun;Yao, Chi
    • 대한수학회보
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    • 제57권6호
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    • pp.1451-1473
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    • 2020
  • Widely orthant dependence (WOD, in short) is a special dependence structure. In this paper, by using the probability inequalities and moment inequalities for WOD random variables, we study the Lp convergence and complete convergence for the partial sums respectively under the conditions of RCI(α), SRCI(α) and R-h-integrability. We also give an application to nonparametric regression models based on WOD errors by using the Lp convergence that we obtained. Finally we carry out some simulations to verify the validity of our theoretical results.