Research article

An extension on the rate of complete moment convergence for weighted sums of weakly dependent random variables

  • Received: 28 June 2022 Revised: 31 August 2022 Accepted: 02 September 2022 Published: 09 October 2022
  • MSC : 60F15

  • The authors study the convergence rate of complete moment convergence for weighted sums of weakly dependent random variables without assumptions of identical distribution. Under the moment condition of $ E{{{\left| X \right|}^{\alpha }}}/{{{\left(\log \left(1+\left| X \right| \right) \right)}^{\alpha /\gamma -1}}}\; < \infty $ for $ 0 < \gamma < \alpha $ with $ 1 < \alpha \le 2 $, we establish the complete $ \alpha $-th moment convergence theorem for weighted sums of weakly dependent cases, which improves and extends the related known results in the literature.

    Citation: Haiwu Huang, Yuan Yuan, Hongguo Zeng. An extension on the rate of complete moment convergence for weighted sums of weakly dependent random variables[J]. AIMS Mathematics, 2023, 8(1): 622-632. doi: 10.3934/math.2023029

    Related Papers:

  • The authors study the convergence rate of complete moment convergence for weighted sums of weakly dependent random variables without assumptions of identical distribution. Under the moment condition of $ E{{{\left| X \right|}^{\alpha }}}/{{{\left(\log \left(1+\left| X \right| \right) \right)}^{\alpha /\gamma -1}}}\; < \infty $ for $ 0 < \gamma < \alpha $ with $ 1 < \alpha \le 2 $, we establish the complete $ \alpha $-th moment convergence theorem for weighted sums of weakly dependent cases, which improves and extends the related known results in the literature.



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