IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v72y2005i2p153-162.html
   My bibliography  Save this article

On choosing the centering distribution in Dirichlet process mixture models

Author

Listed:
  • Hanson, Timothy
  • Sethuraman, Jayaram
  • Xu, Ling

Abstract

We present two results that pertain to the choosing of the centering distribution in a Bayesian setup with a Dirichlet process mixture prior based on Gaussian kernels. Our results indicate that for such kernels, one can choose the centering measure for the Dirichlet process mixture model exactly as one would in the analogous simpler Dirichlet process model.

Suggested Citation

  • Hanson, Timothy & Sethuraman, Jayaram & Xu, Ling, 2005. "On choosing the centering distribution in Dirichlet process mixture models," Statistics & Probability Letters, Elsevier, vol. 72(2), pages 153-162, April.
    • Handle: RePEc:eee:stapro:v:72:y:2005:i:2:p:153-162
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(05)00025-8
    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.

    More about this item

    Keywords

    Bayesian Gaussian Nonparametric;

    Statistics

    Access and download statistics

    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:72:y:2005:i:2:p:153-162. 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.