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.
Similar content being viewed by others
References
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).
Korolyuk V. S. and Borovskikh Yu. V., Theory of U-Statistics, Kluwer Academic Publ., Dordrecht (1994).
Von Mises R., “On the asymptotic distribution of differentiable statistical functions,” Ann. Math. Statist., 18, 309–348 (1947).
Hoeffding W., “A class of statistics with asymptotically normal distribution,” Ann. Math. Statist., 19, No. 3, 293–325 (1948).
Hoeffding W., “The strong law of large numbers for U-statistics,” Inst. Statist. Mimeo Ser., No. 302, 1–10 (1961).
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).
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).
Itô K., “Multiple Wiener integral,” J. Math. Soc. Japan, 3, No. 1, 157–169 (1951).
Dynkin E. B. and Mandelbaum A., “Symmetric statistics, Poisson point processes and multiple Wiener integrals,” Ann. Statist., 11, No. 3, 739–745 (1983).
Eagleson G. K., “Orthogonal expansions and U-statistics,” Austral. J. Statist., 21, No. 3, 221–237 (1979).
Rubin H. and Vitale R. A., “Asymptotic distribution of symmetric statistics,” Ann. Statist., 8, No. 1, 165–170 (1980).
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).
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).
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).
Philipp W., “The central limit problem for mixing sequences of random variables,” Z. Wahrsch. Verw. Gebiete, Bd 12, H. 2, 155–171 (1969).
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).
Billingsley P., Convergence of Probability Measures, J. Willey, New York; London; Sydney; Toronto (1968).
Author information
Authors and Affiliations
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
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
Received:
Issue Date:
DOI: https://doi.org/10.1007/s11202-006-0109-3