IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Bayesian Analysis of Pulse Trains With Hidden Missingness

Listed author(s):
  • Refik Soyer

    (The George Washington University School of Business)

  • Melinda Hock

    (Naval Research Laboratory)

Registered author(s):

    In this paper we present a Bayesian approach for analysis of a pulse train that is corrupted by noise and missing pulses at unknown locations. The existence of missing pulses at unknown locations complicates the analysis and model selection process. This type of hidden missingness in the pulse data is different than the usual missing observations problem that arise in time-series analysis where standard methodology is available. We develop Bayesian methodology for dealing with the hidden missingness. Our development is based on Markov chain Monte Carlo methods and involves both inference and model selection.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by School of Business, The George Washington University in its series Working Papers with number 0013.

    in new window

    Date of creation: Nov 2006
    Handle: RePEc:gwu:wpaper:0013
    Contact details of provider: Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:gwu:wpaper:0013. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (GW School of Business Communications)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.