IDEAS home Printed from https://ideas.repec.org/a/oup/biomet/v104y2017i4p995-1001..html
   My bibliography  Save this article

Contours and dimple for the Gneiting class of space-time correlation functions

Author

Listed:
  • F Cuevas
  • E Porcu
  • M Bevilacqua

Abstract

We offer a dual view of the dimple problem related to space-time correlation functions in terms of their contours. We find that the dimple property (Kent et al., 2011) in the Gneiting class of correlations is in one-to-one correspondence with nonmonotonicity of the parametric curve describing the associated contour lines. Further, we show that given such a nonmonotonic parametric curve associated with a given level set, all the other parametric curves at smaller levels inherit the nonmonotonicity. We propose a modified Gneiting class of correlations having monotonically decreasing parametric curves and no dimple along the temporal axis.

Suggested Citation

  • F Cuevas & E Porcu & M Bevilacqua, 2017. "Contours and dimple for the Gneiting class of space-time correlation functions," Biometrika, Biometrika Trust, vol. 104(4), pages 995-1001.
  • Handle: RePEc:oup:biomet:v:104:y:2017:i:4:p:995-1001.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/biomet/asx048
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:oup:biomet:v:104:y:2017:i:4:p:995-1001.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/biomet .

    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.