Skip to main content
Log in

Strong Law of Large Numbers with Operator Normalizations for Martingales and Sums of Orthogonal Random Vectors

  • Published:
Ukrainian Mathematical Journal Aims and scope

Abstract

We establish the strong law of large numbers with operator normalizations for vector martingales and sums of orthogonal random vectors. We describe its applications to the investigation of the strong consistency of least-squares estimators in a linear regression and the asymptotic behavior of multidimensional autoregression processes.

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. V. V. Buldygin and S. A. Solntsev, “Strong law of large numbers for sums of independent random vectors with operator normalizations and convergence of Gaussian sequences to zero,” Teor. Ver. Primen., 32, No.2, 266–281 (1987).

    Google Scholar 

  2. V. V. Buldygin and S. A. Solntsev, Functional Methods in Problems of Summation of Random Variables [in Russian], Naukova Dumka, Kiev (1989).

    Google Scholar 

  3. V. V. Buldygin and S. A. Solntsev, Asymptotic Behaviour of Linearly Transformed Sums of Random Variables, Kluwer, Dordrecht (1997).

    Google Scholar 

  4. A. V. Mel'nikov, “Strong law of large numbers for multidimensional martingales,” Dokl. Akad. Nauk SSSR, 286, No.3, 546–550 (1986).

    Google Scholar 

  5. H. Kaufmann, “On the strong law of large numbers for multivariable martingales,” Stochast. Proc. Appl., 26, No.1, 73–85 (1987).

    Google Scholar 

  6. T. L. Lai, H. Robbins, and C. Z. Wei, “Strong consistency of least-squares estimates in multiple regression II,” J. Multivar. Anal., 9, No.3, 343–361 (1979).

    Google Scholar 

  7. T. L. Lai, “Some almost sure convergence properties of weighted sums of martingale difference sequences,” in: Almost Everywhere Convergence II (Evanston, IL, 1989), Academic Press, Boston (1991), pp. 179–190.

    Google Scholar 

  8. M. Duflo, Random Iterative Models, Springer, Berlin (1997).

    Google Scholar 

  9. M. Loève, Probability Theory [Russian translation], Inostrannaya Literatura, Moscow (1962).

    Google Scholar 

  10. D. Blackwell and L. Dubins, “Merging of opinions with increasing information,” Ann. Math. Statist., 33, No.3, 882–886 (1962).

    Google Scholar 

  11. A. N. Shiryaev, Probability [in Russian], Nauka, Moscow (1989).

    Google Scholar 

  12. V. V. Voevodin and Yu. A. Kuznetsov, Matrices and Calculations [in Russian], Nauka, Moscow (1984).

    Google Scholar 

  13. V. A. Koval', Asymptotic Behavior of Solutions of Stochastic Recurrence Equations [in Russian], Candidate-Degree Thesis (Physics and Mathematics), Kiev (1991).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Buldygin, V.V., Koval', V.A. Strong Law of Large Numbers with Operator Normalizations for Martingales and Sums of Orthogonal Random Vectors. Ukrainian Mathematical Journal 52, 1195–1214 (2000). https://doi.org/10.1023/A:1010344802757

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1010344802757

Keywords

Navigation