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On L 1 Bounds for Asymptotic Normality of Some Weakly Dependent Random Variables

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In the present paper, we consider L 1 bounds for asymptotic normality for the sequence of r.v.’s X 1,X 2,… (not necessarily stationary) satisfying the ψ-mixing condition. The L 1 bounds have been obtained in terms of Lyapunov fractions which, in a particular case, under finiteness of the third moments of summands and the finiteness of ∑r≥1 r 2 ψ(r), are of order O(n −1/2), where the function ψ participates in the definition of the ψ-mixing condition.

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References

  1. Bhattacharya, R.N., Ranga, R.R.: Normal Approximation and Asymptotic Expansions. Wiley, New York (1976)

    MATH  Google Scholar 

  2. Bradley, R.C.: A caution on mixing conditions for random fields. Stat. Probab. Lett. 8, 489–491 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  3. Bradley, R.C.: Basic properties of strong mixing conditions. A survey and some open questions. Probab. Surv. 2, 107–144 (2005)

    Article  MathSciNet  Google Scholar 

  4. Bulinski, A.V.: Limit Theorems Under Weak Dependence Conditions. Moscow State University Press, Moscow (1989) (in Russian)

    Google Scholar 

  5. Cealera, C.: Contributions to the study of dependent random variables. Stud. Cerc. Mat. 44, 13–35 (1992) (in Romanian)

    MATH  MathSciNet  Google Scholar 

  6. Erickson, R.V.: L 1 bounds for asymptotic normality of m-dependent sums using Stein’s technique. Ann. Probab. 2, 522–529 (1974)

    Article  MATH  MathSciNet  Google Scholar 

  7. Hall, P., Heyde, C.C.: Martingale Limit Theory and Its Applications. Academic Press, New York, London, Toronto, Sydney, San Francisco (1980)

    Google Scholar 

  8. Ho, S.-T., Chen, L.H.Y.: An L p bound for the remainder in a combinatorial central limit theorem. Ann. Probab. 6, 231–249 (1978)

    Article  MATH  MathSciNet  Google Scholar 

  9. Ibragimov, I.A., Linnik, Yu.V.: Independent and Stationary Sequences of Random Variables. Wolters-Noordhoff, Groningen (1971)

    MATH  Google Scholar 

  10. Lin, Z.Y., Lu, C.R.: Limit Theory for Mixing Dependent Random Variables. Kluwer Academic, Dordrecht, Beijing (1996)

    MATH  Google Scholar 

  11. Rio, E.: Sur le théorème de Berry–Esseen pour les suites faiblement dépendantes. Probab. Theory Relat. Fields 104, 255–282 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  12. Stein, Ch.: A bound for the error in the normal approximation to the distribution of a sum of dependent random variables. In: Proc. Math. Statist. and Probab., vol. 2, pp. 583–602. University of California Press, Berkeley (1972)

    Google Scholar 

  13. Sunklodas, J.: Distance in the L 1 metric between the distribution of a sum of weakly dependent random variables and the normal distribution function. Lithuanian Math. J. 22, 177–189 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  14. Sunklodas, J.: Estimation of the rate of convergence in the central limit theorem for weakly dependent random fields. Lithuanian Math. J. 26, 272–287 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  15. Sunklodas, J.: Approximation of distributions of sums of weakly dependent random variables by the normal distribution. In: Prokhorov, Yu.V., Statulevičius, V. (eds.) Limit Theorems of Probability Theory, pp. 113–165. Springer, Berlin (2000)

    Google Scholar 

  16. Takahata, H.: On the rates in the central limit theorem for weakly dependent random fields. Z. Wahrscheinlichkeitstheorie Verw. Geb. 64, 445–456 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  17. Tikhomirov, A.N.: On the rate of convergence in the central limit theorem for weakly dependent variables. Theory Probab. Appl. 25, 790–809 (1980)

    Article  MathSciNet  Google Scholar 

  18. Utev, S.A.: On a method of studying sums of weakly dependent random variables. Sib. Math. J. 4, 675–690 (1991)

    MathSciNet  Google Scholar 

  19. Zuparov, T.M.: On the convergence in the central limit theorem for weakly dependent random variables. Theory Probab. Appl. 36, 635–643 (1991)

    Article  MATH  MathSciNet  Google Scholar 

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Sunklodas, J. On L 1 Bounds for Asymptotic Normality of Some Weakly Dependent Random Variables. Acta Appl Math 102, 87–98 (2008). https://doi.org/10.1007/s10440-008-9211-9

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