Skip to main content
Log in

Limit theorems for the canonical von Mises statistics with dependent data

  • Published:
Siberian Mathematical Journal Aims and scope Submit manuscript

Abstract

We study the limit behavior of the canonical (i.e., degenerate) von Mises statistics based on samples from a sequence of weakly dependent stationary observations satisfying the ψ-mixing condition. The corresponding limit distributions are defined by the multiple stochastic integrals of nonrandom functions with respect to the nonorthogonal Hilbert noises generated by Gaussian processes with nonorthogonal increments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Borisov I. S. and Bystrov A. A., “Constructing a stochastic integral of a nonrandom function without orthogonality of the noise,” Theory Probab. Appl., 50, No. 1, 53–74 (2006).

    Article  MATH  MathSciNet  Google Scholar 

  2. Korolyuk V. S. and Borovskikh Yu. V., Theory of U-Statistics, Kluwer Academic Publ., Dordrecht (1994).

    Google Scholar 

  3. Von Mises R., “On the asymptotic distribution of differentiable statistical functions,” Ann. Math. Statist., 18, 309–348 (1947).

    MATH  Google Scholar 

  4. Hoeffding W., “A class of statistics with asymptotically normal distribution,” Ann. Math. Statist., 19, No. 3, 293–325 (1948).

    MathSciNet  MATH  Google Scholar 

  5. Hoeffding W., “The strong law of large numbers for U-statistics,” Inst. Statist. Mimeo Ser., No. 302, 1–10 (1961).

  6. Borisov I. S. and Sakhanenko L. A., “The central limit theorem for generalized canonical von Mises statistics,” Siberian Adv. Math., 10, No. 4, 1–14 (2000).

    MATH  MathSciNet  Google Scholar 

  7. Filippova A. A., “Von Mises’ theorem on the limit behavior of functionals of the empirical distribution functions and its statistical applications,” Theory Probab. Appl., 7, No. 1, 26–60 (1962).

    Article  MathSciNet  Google Scholar 

  8. Itô K., “Multiple Wiener integral,” J. Math. Soc. Japan, 3, No. 1, 157–169 (1951).

    Article  MathSciNet  MATH  Google Scholar 

  9. Dynkin E. B. and Mandelbaum A., “Symmetric statistics, Poisson point processes and multiple Wiener integrals,” Ann. Statist., 11, No. 3, 739–745 (1983).

    MATH  MathSciNet  Google Scholar 

  10. Eagleson G. K., “Orthogonal expansions and U-statistics,” Austral. J. Statist., 21, No. 3, 221–237 (1979).

    Article  MATH  MathSciNet  Google Scholar 

  11. Rubin H. and Vitale R. A., “Asymptotic distribution of symmetric statistics,” Ann. Statist., 8, No. 1, 165–170 (1980).

    MATH  MathSciNet  Google Scholar 

  12. Dehling H. and Taqqu M. S., “The empirical process of some long-range dependent sequences with an application to U-statistics,” Ann. Statist., 17, No. 4, 1767–1783 (1989).

    MATH  MathSciNet  Google Scholar 

  13. Tikhomirov A. N., “On the accuracy of normal approximation of the probability of hitting a ball of sums of weakly dependent Hilbert space valued random variables. I,” Theory Probab. Appl., 36, No. 4, 738–751 (1991).

    Article  MathSciNet  Google Scholar 

  14. Blum J. R., Hanson D. L., and Koopmans L. H., “On the strong law of large numbers for a class of stochastic processes,” Z. Wahrsch. Verw. Gebiete, Bd 2, H. 1, 1–11 (1963).

    Article  MATH  MathSciNet  Google Scholar 

  15. Philipp W., “The central limit problem for mixing sequences of random variables,” Z. Wahrsch. Verw. Gebiete, Bd 12, H. 2, 155–171 (1969).

    Article  MATH  MathSciNet  Google Scholar 

  16. Sen P. K., “Limiting behavior of regular functionals of empirical distributions for stationary *-mixing processes,” Z. Wahrsch. Verw. Gebiete, Bd 25, H. 1, 71–82 (1972).

    Article  MATH  Google Scholar 

  17. Billingsley P., Convergence of Probability Measures, J. Willey, New York; London; Sydney; Toronto (1968).

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Original Russian Text Copyright © 2006 Borisov I. S. and Bystrov A. A.

__________

Translated from Sibirskiĭ Matematicheskiĭ Zhurnal, Vol. 47, No. 6, pp. 1205–1217, November–December, 2006.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Borisov, I.S., Bystrov, A.A. Limit theorems for the canonical von Mises statistics with dependent data. Sib Math J 47, 980–989 (2006). https://doi.org/10.1007/s11202-006-0109-3

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11202-006-0109-3

Keywords

Navigation