IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v9y1990i3p237-240.html
   My bibliography  Save this article

On the law of the logarithm for density estimators

Author

Listed:
  • Hall, Peter

Abstract

It has been conjectured that the form of the so-called 'law of the logarithm' for kernel density estimators depends on tail properties of the kernel. We show that this is not the case, and extend work of other authors to uniform convergence when the supremum is taken over an unbounded interval and when the kernel has unbounded support.

Suggested Citation

  • Hall, Peter, 1990. "On the law of the logarithm for density estimators," Statistics & Probability Letters, Elsevier, vol. 9(3), pages 237-240, March.
  • Handle: RePEc:eee:stapro:v:9:y:1990:i:3:p:237-240
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-7152(90)90062-C
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. BaĆ­llo, Amparo & Cuesta-Albertos, Juan A. & Cuevas, Antonio, 2001. "Convergence rates in nonparametric estimation of level sets," Statistics & Probability Letters, Elsevier, vol. 53(1), pages 27-35, May.

    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:eee:stapro:v:9:y:1990:i:3:p:237-240. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.