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On the conditional covariance condition in the martingale CLT

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Abstract

The paper develops a method allowing one to figure out how a convergence rate in the martingale central limit theorem depends on the conditional covariance structure of the martingale. The method is based on constructing “stopping projections” that control the behavior of the conditional covariances of martingale differences. A discrete time martingale taking values in either finite or infinite dimensional Hilbert space is considered.

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References

  1. E. Bolthausen, Exact convergence rates in some martingale central limit theorems,Ann. Probab.,10, 672–688 (1972).

    MathSciNet  Google Scholar 

  2. I. G. Grama, On the rate of convergence in the central limit theorem ford-dimensional semimartingales,Stoch. Stoch. Rep.,44, 131–152 (1993).

    MATH  MathSciNet  Google Scholar 

  3. P. Gudynas, An estimation of the convergence rate in CLT for dependent random elements in Hilbert space,Lith. Math. J.,31, 50–61 (1991).

    MATH  MathSciNet  Google Scholar 

  4. E. Haeusler, On the rate of convergence in the central limit theorem for martingale with discrete and continuous time,Ann. Probab.,16, 275–299 (1988).

    MATH  MathSciNet  Google Scholar 

  5. K. Kubilius, On the rate of convergence in the multidimensional CLT for martingale,Lith. Math. J.,31, 633–645 (1991).

    MATH  MathSciNet  Google Scholar 

  6. Gert K. Pedersen,Analysis Now, Springer (1988).

  7. S. T. Rachev,Probability Metrics and the Stability of Stochastic Models, Wiley, Chichester-New York (1991).

    Google Scholar 

  8. S. T. Rachev and L. Rüschendorf, On the rate of convergence in the CLT with respect to the Kantorovich metric, Preprint (1991).

  9. A. Račkauskas, On the convergence rate in martingale CLT in Hilbert space,Lith. Math. J.,31, 497–512 (1991).

    Google Scholar 

  10. A. Račkauskas, On the convergence rate in the multidimensional CLT, in:Prob. Theory and Math. Stat., B. Grigelionis et al. (Eds), VSP/TEV, Utrecht/Vilnius (1994).

    Google Scholar 

  11. A. Račkauskas, On Gaussian approximation of Hilbert space valued discrete time martingale,Lith. Math. J.,33, 476–491 (1993).

    Google Scholar 

  12. A. Račkauskas, On the rate of convergence in the martingale CLT,Stat. Probab. Letters (to appear) (1994).

  13. W. S. Rhee and M. Talagrand, Uniform bound in the central limit theorem for Banach space valued dependent random variables,J. Multivar. Anal.,20, 303–320 (1986).

    Article  MathSciNet  Google Scholar 

  14. A. V. Skorohod,Random Linear Operators [in Russian], Naukova Dumka, Kiev (1979).

    Google Scholar 

  15. H. Walk, An invariance principle for the Robbins-Monroe process in a Hilbert space,Z. Wahrsch. verw. Geb.,39, 135–150 (1977).

    Article  MATH  MathSciNet  Google Scholar 

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Additional information

Research supported by the International Science Foundation grant LI000.

Vilnius University, Naugarduko 24, 2006, Vilnius, Lithuania. Published in Lietuvos Matematikos Rinkinys, Vol. 35, No. 1, pp. 118–131, January—March, 1995.

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Račkauskas, A. On the conditional covariance condition in the martingale CLT. Lith Math J 35, 93–104 (1995). https://doi.org/10.1007/BF02337759

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  • DOI: https://doi.org/10.1007/BF02337759

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