IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v125y2015i12p4473-4488.html
   My bibliography  Save this article

Construction and characterization of stationary and mass-stationary random measures on Rd

Author

Listed:
  • Last, Günter
  • Thorisson, Hermann

Abstract

Mass-stationarity means that the origin is at a typical location in the mass of a random measure. It is an intrinsic characterization of Palm versions with respect to stationary random measures. Stationarity is the special case when the random measure is Lebesgue measure. The paper presents constructions of stationary and mass-stationary versions through change of measure and change of origin. Further, the paper considers characterizations of mass-stationarity by distributional invariance under preserving shifts against stationary independent backgrounds.

Suggested Citation

  • Last, Günter & Thorisson, Hermann, 2015. "Construction and characterization of stationary and mass-stationary random measures on Rd," Stochastic Processes and their Applications, Elsevier, vol. 125(12), pages 4473-4488.
  • Handle: RePEc:eee:spapps:v:125:y:2015:i:12:p:4473-4488
    DOI: 10.1016/j.spa.2015.07.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304414915001635
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2015.07.006?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.

    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:spapps:v:125:y:2015:i:12:p:4473-4488. 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/505572/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.