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Equivalent conditions of complete moment and integral convergence for a class of dependent random variables

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Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas Aims and scope Submit manuscript

Abstract

Some equivalent conditions of complete moment and complete integral convergence for a class of dependent random variables are established. The results obtained in this paper extend the corresponding ones for negatively associated random variables. As applications, we present some results for specific sequences of random variables, such as \(\rho \)-mixing, \(\rho ^{*}\)-mixing, \(\varphi \)-mixing, \(\varphi ^{*}\)-mixing and m-dependent sequences.

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References

  1. Kolmogorov, A.N., Rozanov, Y.A.: On strong mixing conditions for stationary Gaussian processes. Theory Probab. Appl. 5, 204–208 (1960)

    Article  MathSciNet  MATH  Google Scholar 

  2. Bradley, R.C.: On the spectral density and asymptotic normality of weakly dependent random fields. J. Theor. Probab. 5, 355–373 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  3. Shao, Q.M.: Maximum inequalities for partial sums of \(\rho \)-mixing sequences. Ann. Probab. 23, 948–965 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  4. Cai, G.H., Wu, H.: On the strong laws of large numbers for \(\rho \)-mixing sequences. Math. Commun. 10, 63–69 (2005)

    MathSciNet  MATH  Google Scholar 

  5. Peligrad, M., Gut, A.: Almost-sure results for a class of dependent random variables. J. Theor. Probab. 12, 87–104 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  6. Gan, S.X.: Almost sure convergence for \(\tilde{\rho }\)-mixing random variable sequences. Stat. Probab. Lett. 67, 289–298 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  7. Sung, S.H.: On the strong convergence for weighted sums of \(\rho ^{*}\)-mixing random variables. Stat. Papers 54, 773–781 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  8. Wu, Y.F., Sung, S.H., Volodin, A.: A note on the rates of convergence for weighted sums of \(\rho ^{*}\)-mixing random variables. Lith. Math. J. 54, 220–228 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  9. Wu, Q.Y., Jiang, Y.Y.: Some strong limit theorems for \(\tilde{\rho }\)-mixing sequences of random variables. Stat. Probab. Lett. 78, 1017–1023 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  10. Wu, Q.Y., Jiang, Y.Y.: Chover-type laws of the \(k\)-iterated logarithm for \(\tilde{\rho }\)-mixing sequences of random variables. J. Math. Anal. Appl. 366, 435–443 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  11. Shen, A.T., Wu, R.C., Wang, X.H., Shen, Y.: Complete convergence for weighted sums of arrays of rowwise \(\tilde{\rho }\)-mixing random variables. J. Inequal. Appl. 2013, Article ID 356, 14 pages (2013)

  12. Kuczmaszewska, A.: Convergence rate in the Petrov SLLN For dependent random variables. Acta Mathematica Hungarica 148(1), 56–72 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  13. Dobrushin, R.L.: The central limit theorem for non-stationary Markov chain. Theory Probab. Appl. 1(4), 72–88 (1956)

    MathSciNet  MATH  Google Scholar 

  14. Wu, Q.Y., Lin, L.: Convergence properties of \(\tilde{\varphi }\)-mixing random sequences. Chin. J. Eng. Math. 21(1), 75–80 (2004)

    MathSciNet  Google Scholar 

  15. Chen, D.C.: A uniform central limit theorem for nonuniform \(\varphi \)-mixing random fields. Ann. Probab. 19(2), 636–649 (1991)

    Article  MathSciNet  Google Scholar 

  16. Peligrad, M.: An invariance principle for \(\varphi \)-mixing sequences. Ann. Probab. 13(4), 1304–1313 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  17. Wang, X.J., Hu, S.H., Yang, W.Z., Shen, Y.: On complete convergence for weighted sums of \(\varphi \)-mixing random variables. J. Inequal. Appl. 2010, Article ID 372390, 13 pages (2010)

  18. Yang, W.Z., Wang, X.J., Li, X.Q., Hu, S.H.: Berry-Ess\(\acute{e}\)en bound of sample quantiles for \(\varphi \)-mixing random variables. J. Math. Anal. Appl. 388, 451–462 (2012)

    Article  MathSciNet  Google Scholar 

  19. Shen, A.T.: On asymptotic approximation of inverse moments for a class of nonnegative random variables. Stat. J. Theor. Appl. Stat. 48, 1371–1379 (2014)

    MathSciNet  MATH  Google Scholar 

  20. Shen, A.T., Wang, X.H., Li, X.Q.: On the rate of complete convergence for weighted sums of arrays of rowwise \(\varphi \)-mixing random variables. Commun. Stat. Theory Methods 43(13), 2714–2725 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  21. Shen, A.T., Wang, X.H., Ling, J.M.: On complete convergence for nonstationary \(\varphi \)-mixing random variables. Commun. Stat. Theory Methods 43(22), 4856–4866 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  22. Hoeffding, W., Robbins, H.: The central limit theorem for dependent random variables. Duke Math. J. 15, 773–780 (1948)

    Article  MathSciNet  MATH  Google Scholar 

  23. Sen, P.L.: Asymptotic normality of sample quantiles for \(m\)-dependent processes. Ann. Math. Stat. 39, 1724–1730 (1968)

    Article  MathSciNet  MATH  Google Scholar 

  24. Schönfeld.: A useful central limit theorem for \(m\)-dependent variables. Metrika 17, 116–128 (1971)

  25. Romano, J.P., Wolf, M.: A more general central limit theorem for \(m\)-dependent random variables with unbounded \(m\). Stat. Probab. Lett. 47, 115–124 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  26. Hsu, P.L., Robbins, H.: Complete convergence and the law of large numbers. Proc. Natl. Acad. Sci. USA 33, 25–31 (1947)

    Article  MathSciNet  MATH  Google Scholar 

  27. Chow, Y.S.: On the rate of moment convergence of sample sums and extremes. Bull. Inst. Math. Acad. Sinica 16, 177–201 (1988)

    MathSciNet  MATH  Google Scholar 

  28. Wang, X.J., Hu, S.H.: Complete convergence and complete moment convergence for martingale difference sequence. Acta Math. Sinica Eng. Ser. 30, 119–132 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  29. Wu, Y.F., Cabrea, M.O., Volodin, A.: Complete convergence and complete moment convergence for arrays of rowwise END random variables. Glasnik Matematički 49(69), 449–468 (2014)

    MathSciNet  Google Scholar 

  30. Yang, W.Z., Wang, Y.W., Wang, X.H., Hu, S.H.: Complete moment convergence for randomly weighted sums of martingale differences. J. Inequal. Appl. Article ID 396, 13 pages (2013)

  31. Guo, M.L., Zhu, D.J.: Equivalent conditions of complete moment convergence of weighted sums for \(\rho ^{*}\)-mixing sequence of random variables. Stat. Probab. Lett. 83, 13–20 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  32. Liang, H.Y., Li, D.L., Rosalsky, A.: Complete moment and integral convergence for sums of negatively associated random variables. Acta Math. Sinica Eng. Ser. 26(3), 419–432 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  33. Li, D.L., Spǎtaru, A.: Refinement of convergence rates for tail probabilities. J. Theor. Probab. 18, 933–947 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  34. Utev, S., Peligrad, M.: Maximal inequalities and an invariance principle for a class of weakly dependent random variables. J. Theor. Probab. 16, 101–115 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  35. Huang, H.W., Wang, D.C., Wu, Q.Y.: Strong convergence laws for \(\tilde{\varphi }\)-mixing sequences of random variables. Chin. J. Appl. Probab. Stat. 28(2), 181–188 (2012)

    MathSciNet  Google Scholar 

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Acknowledgements

The authors are most grateful to the Editor-in-Chief Prof. Manuel López-Pellicer and two anonymous referees for careful reading of the manuscript and valuable suggestions which helped in improving an earlier version of this paper.

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Correspondence to Xuejun Wang.

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Supported by the National Natural Science Foundation of China (11671012, 11501004, 11501005), the Natural Science Foundation of Anhui Province (1508085J06) and the Key Projects for Academic Talent of Anhui Province (gxbjZD2016005).

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Wu, Y., Wang, X. Equivalent conditions of complete moment and integral convergence for a class of dependent random variables. RACSAM 112, 575–592 (2018). https://doi.org/10.1007/s13398-017-0399-2

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  • DOI: https://doi.org/10.1007/s13398-017-0399-2

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