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Complete Convergence for Moving Average Process of Martingale Differences

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  • Wenzhi Yang
  • Shuhe Hu
  • Xuejun Wang

Abstract

Under some simple conditions, by using some techniques such as truncated method for random variables (see e.g., Gut (2005)) and properties of martingale differences, we studied the moving process based on martingale differences and obtained complete convergence and complete moment convergence for this moving process. Our results extend some related ones.

Suggested Citation

  • Wenzhi Yang & Shuhe Hu & Xuejun Wang, 2012. "Complete Convergence for Moving Average Process of Martingale Differences," Discrete Dynamics in Nature and Society, Hindawi, vol. 2012, pages 1-16, July.
  • Handle: RePEc:hin:jnddns:128492
    DOI: 10.1155/2012/128492
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    References listed on IDEAS

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    1. Li, Deli & Bhaskara Rao, M. & Wang, Xiangchen, 1992. "Complete convergence of moving average processes," Statistics & Probability Letters, Elsevier, vol. 14(2), pages 111-114, May.
    2. Zhang, Li-Xin, 1996. "Complete convergence of moving average processes under dependence assumptions," Statistics & Probability Letters, Elsevier, vol. 30(2), pages 165-170, October.
    3. Kim, Tae-Sung & Ko, Mi-Hwa, 2008. "Complete moment convergence of moving average processes under dependence assumptions," Statistics & Probability Letters, Elsevier, vol. 78(7), pages 839-846, May.
    4. Burton, Robert M. & Dehling, Herold, 1990. "Large deviations for some weakly dependent random processes," Statistics & Probability Letters, Elsevier, vol. 9(5), pages 397-401, May.
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