DOI QR코드

DOI QR Code

THE LIMIT THEOREMS UNDER LOGARITHMIC AVERAGES FOR MIXING RANDOM VARIABLES

  • Zhang, Yong (College of Mathematics Jilin University)
  • 투고 : 2013.05.09
  • 발행 : 2014.04.30

초록

In this paper, under some suitable integrability and smoothness conditions on f, we establish the central limit theorems for $$\sum_{k{\leq}N}k^{-1}f(S_k/{\sigma}\sqrt{k})$$, where $S_k$ is the partial sums of strictly stationary mixing random variables with $EX_1=0$ and ${\sigma}^2=EX^2_1+2\sum_{k=1}^{\infty}EX_1X_{1+k}$. We also establish an almost sure limit behaviors of the above sums.

키워드

참고문헌

  1. I. Berkes, X. Chen, and L. Horvath, Central limit theorems for logarithm averages, Studia Sci. Math. Hungar. 38 (2001), 79-96.
  2. I. Berkes, E. Csaki, and L. Horvath, Almost sure central limit theorems under minimal conditions, Statist. Probab. Lett. 37 (1998), no. 1, 67-76. https://doi.org/10.1016/S0167-7152(97)00101-6
  3. I. Berkes and L. Horvath, Almost sure invariance principles for logarithmic averages, Studia Sci. Math. Hungar. 33 (1997), no. 1-3, 1-24.
  4. G. A. Brosamler, An almost everywhere central limit theorem, Math. Proc. Cambridge Philos. Soc. 104 (1988), no. 3, 561-574. https://doi.org/10.1017/S0305004100065750
  5. M. Csorgo and L. Horvath, Invariance principles for logarithmic averages, Math. Proc. Cambridge Philos. Soc. 112 (1992), no. 1, 195-205. https://doi.org/10.1017/S0305004100070870
  6. L. Horvath and D. Khoshnevisan, Weight functions and pathwise local central limit theorems, Stochastic Process. Appl. 59 (1995), no. 1, 105-123. https://doi.org/10.1016/0304-4149(95)00021-X
  7. L. Horvath and D. Khoshnevisan, A strong approximation for logarithmic averages, Studia Sci. Math. Hungar. 31 (1996), no. 1-3, 187-196.
  8. I. A. Ibragimov, Some limit theorems for stationary process, Theory Probab. Appl. 7 (1962), 349-382. https://doi.org/10.1137/1107036
  9. I. Ibragimov and M. Lifshits, On the convergence of generalized moments in almost sure central limit theorem, Statist. Probab. Lett. 40 (1998), no. 4, 343-351. https://doi.org/10.1016/S0167-7152(98)00134-5
  10. A. N. Kolmogorov and Y. A. Rozanov, On strong mixing conditions for stationary Gaussian processes, Theory Probab. Appl. 5 (1960), no. 2, 204-208. https://doi.org/10.1137/1105018
  11. M. Lacey and W. Philipp, A note on the almost sure central limit theorem, Statist. Probab. Lett. 9 (1990), no. 3, 201-205. https://doi.org/10.1016/0167-7152(90)90056-D
  12. S. P. Meyn and R. L. Tweedie, Markov Chains and Stochastic Stability, Springer, London, 1993.
  13. M. Rosenblatt, A central limit theorem and a strong mixing condition, Proc. Nat. Acad. Sci. USA 42 (1956), 43-47. https://doi.org/10.1073/pnas.42.1.43
  14. P. Schatte, On strong versions of the central limit theorem, Math. Nachr. 137 (1988), 249-256. https://doi.org/10.1002/mana.19881370117
  15. Q. M. Shao, Almost sure invariance principles for mixing sequences of random variables, Stochastic Process. Appl. 48 (1993), no. 2, 319-334. https://doi.org/10.1016/0304-4149(93)90051-5
  16. Q. M. Shao and C.R. Lu, Strong approximations for partial sums of weakly dependent random variables, Sci. Sinica. Ser. A 30 (1987), no. 6, 575-587.