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The limit theorems under logarithmic averages for mixing random variables

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In this paper, under some suitable integrability and smoothness conditions on f, we establish the central limit theorems for ∑ k≤N k−1f(Sk/σ√k), where Sk is the partial sums of strictly stationary mixing random variables with EX1 = 0 and σ2 = EX2 1 +2∑∞ k=1 EX1X1+k. We also establish an almost sure limit behaviors of the above sums.

Abstract

In this paper, under some suitable integrability and smoothness conditions on f, we establish the central limit theorems for ∑ k≤N k−1f(Sk/σ√k), where Sk is the partial sums of strictly stationary mixing random variables with EX1 = 0 and σ2 = EX2 1 +2∑∞ k=1 EX1X1+k. We also establish an almost sure limit behaviors of the above sums.

참고문헌 (16)

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  2. I. Berkes, "Almost sure central limit theorems under minimal conditions", Statist. Probab. Lett, 37(1), pp.67~76 (1998)
  3. I. Berkes, "Almost sure invariance principles for logarithmic averages", Studia Sci. Math. Hungar, 33(1-3), pp.1~24 (1997)
  4. G. A. Brosamler, "An almost everywhere central limit theorem", Math. Proc. Cambridge Philos. Soc, 104(3), pp.561~574 (1988)
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  6. L. Horvath, "Weight functions and pathwise local central limit theorems", Stochastic Process. Appl, 59(1), pp.105~123 (1995)
  7. L. Horvath, "A strong approximation for logarithmic averages", Studia Sci. Math. Hungar, 31(1-3), pp.187~196 (1996)
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  9. I. Ibragimov, "On the convergence of generalized moments in almost sure central limit theorem", Statist. Probab. Lett, 40(4), pp.343~351 (1998)
  10. A. N. Kolmogorov, "On strong mixing conditions for stationary Gaussian processes", Theory Probab. Appl, 5(2), pp.204~208 (1960)
  11. M. Lacey, "A note on the almost sure central limit theorem", Statist. Probab. Lett, 9(3), pp.201~205 (1990)
  12. S. P. Meyn, "Markov Chains and Stochastic Stability" (1993), Springer
  13. M. Rosenblatt, "A central limit theorem and a strong mixing condition", Proc. Nat. Acad. Sci. USA, 42, pp.43~47 (1956)
  14. P. Schatte, "On strong versions of the central limit theorem", Math. Nachr, 137, pp.249~256 (1988)
  15. Q. M. Shao, "Almost sure invariance principles for mixing sequences of random variables", Stochastic Process. Appl, 48(2), pp.319~334 (1993)
  16. Q. M. Shao, "Strong approximations for partial sums of weakly dependent random variables", Sci. Sinica. Ser. A, 30(6), pp.575~587 (1987)

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