IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v59y2002i2p113-123.html
   My bibliography  Save this article

On cross-validation in kernel and partitioning regression estimation

Author

Listed:
  • Walk, Harro

Abstract

The paper deals with the approximation of the best deterministic choice (minimizing mean integrated squared error) of the parameter in naive kernel and cubic partitioning regression estimation by cross-validation. The result is essentially distribution-free.

Suggested Citation

  • Walk, Harro, 2002. "On cross-validation in kernel and partitioning regression estimation," Statistics & Probability Letters, Elsevier, vol. 59(2), pages 113-123, September.
    • Handle: RePEc:eee:stapro:v:59:y:2002:i:2:p:113-123
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(02)00103-7
    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. Majid Mojirsheibani & Timothy Reese, 2017. "Kernel regression estimation for incomplete data with applications," Statistical Papers, Springer, vol. 58(1), pages 185-209, March.

    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:59:y:2002:i:2:p:113-123. 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.