IDEAS home Printed from https://ideas.repec.org/a/spr/jotpro/v17y2004i4d10.1007_s10959-004-0585-y.html
   My bibliography  Save this article

Large Deviation Principle for Exchangeable Sequences: Necessary and Sufficient Condition

Author

Listed:
  • L. Wu

    (Université Blaise Pascal
    WuhanUniversity)

Abstract

For an exchangeable sequence of random variables $$(X_n)_{n \in {\mathbb{N}}}$$ valued in a Polish space, we obtain a necessary and sufficient condition for the large deviation principles of the occupation measure L n :=(1/n) $$\sum _{k = 0}^{n - 1} \delta _{X_k }$$ and of the process-level empirical measures.

Suggested Citation

  • L. Wu, 2004. "Large Deviation Principle for Exchangeable Sequences: Necessary and Sufficient Condition," Journal of Theoretical Probability, Springer, vol. 17(4), pages 967-978, October.
  • Handle: RePEc:spr:jotpro:v:17:y:2004:i:4:d:10.1007_s10959-004-0585-y
    DOI: 10.1007/s10959-004-0585-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10959-004-0585-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10959-004-0585-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daras, Tryfon, 1997. "Large and moderate deviations for the empirical measures of an exchangeable sequence," Statistics & Probability Letters, Elsevier, vol. 36(1), pages 91-100, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daras, Tryfon, 2004. "Large deviations for the empirical process of a symmetric measure: a lower bound," Statistics & Probability Letters, Elsevier, vol. 66(2), pages 197-204, January.
    2. Eichelsbacher, Peter & Schmock, Uwe, 1998. "Exponential approximations in completely regular topological spaces and extensions of Sanov's theorem," Stochastic Processes and their Applications, Elsevier, vol. 77(2), pages 233-251, September.
    3. Ma, Yutao & Song, Qiongxia & Wu, Liming, 2007. "Large deviation principles with respect to the [tau]-topology for exchangeable sequences: A necessary and sufficient condition," Statistics & Probability Letters, Elsevier, vol. 77(3), pages 239-246, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jotpro:v:17:y:2004:i:4:d:10.1007_s10959-004-0585-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.