Skip to main content

A Criterion for Weak Convergence in Vector Skorokhod Spaces

  • Conference paper
  • First Online:
Stochastic Models, Statistics and Their Applications (SMSA 2019)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 294))

Included in the following conference series:

  • 1128 Accesses

Abstract

The paper considers random processes with values in a vector Skorokhod space; i.e., in a product of a finite numberĀ of Skorokhod spaces. Our interest is focused on weak convergence of a sequence of such processes. Particularly, we present a criterion for weak convergence in vector Skorokhod spaces. The idea is based on an embedding of a vector Skorokhod space into a Skorokhod space. Also, an illustrative example of two empirical processes is attached.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bickel, P.J., Wichura, M.S.: Convergence criteria for multiparameter stochastic processes and some applications. Ann. Math. Statist. 42, 1656ā€“1670 (1971)

    ArticleĀ  MathSciNetĀ  Google ScholarĀ 

  2. Billingsley, P.: Convergence of Probability Measures. Wiley, New York (1968)

    Google ScholarĀ 

  3. Ferger, D., Vogel, D.: Weak convergence of the empirical process and the rescaled empirical distribution function in the Skorokhod product space. Teor. Veroyatnost. i Primenen. 54(4), 750ā€“770 (2009). https://doi.org/10.4213/tvp3538

    ArticleĀ  MathSciNetĀ  MATHĀ  Google ScholarĀ 

  4. Neuhaus, G.: On weak convergence of stochastic processes with multidimensional time parameter. Ann. Math. Stat. 42, 1285ā€“1295 (1971)

    ArticleĀ  MathSciNetĀ  Google ScholarĀ 

  5. Skorokhod, A.V.: Limit theorems for stochastic processes. Theory Probab. Appl. 1(1), 289ā€“319 (1956)

    MathSciNetĀ  MATHĀ  Google ScholarĀ 

  6. Straf, M.L.: Weak convergence of stochastic processes with several parameters. In: Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, vol. 2, pp. 187ā€“222 (1972)

    Google ScholarĀ 

Download references

Acknowledgements

The author is thankful to anonymous referee for his comments and suggestions helping to improve the text.

The research was supported by the Czech Science Foundation (GA ČR) under the project 18-05631S.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Petr Lachout .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

Ā© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lachout, P. (2019). A Criterion for Weak Convergence in Vector Skorokhod Spaces. In: Steland, A., Rafajłowicz, E., Okhrin, O. (eds) Stochastic Models, Statistics and Their Applications. SMSA 2019. Springer Proceedings in Mathematics & Statistics, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-28665-1_7

Download citation

Publish with us

Policies and ethics