IDEAS home Printed from
   My bibliography  Save this article

Local polynomial estimation of Poisson intensities in the presence of reporting delays


  • Feng Chen
  • Richard M. Huggins
  • Paul S. F. Yip
  • K. F. Lam


The system for monitoring suicides in Hong Kong has considerable delays in reporting as the cause of death needs to be determined by a coroner's investigation. However, timely estimates of suicide rates are desirable to assist in the formulation of public health policies. This motivated us to develop a non-parametric procedure to estimate the intensity function of a Poisson process in the presence of reporting delays. We give closed form estimators of the Poisson intensity and the delay distribution, conduct simulation studies to evaluate the method proposed and derive their asymptotic properties. The method proposed is applied to estimate the intensity of suicide in Hong Kong. Copyright (c) 2008 Royal Statistical Society.

Suggested Citation

  • Feng Chen & Richard M. Huggins & Paul S. F. Yip & K. F. Lam, 2008. "Local polynomial estimation of Poisson intensities in the presence of reporting delays," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(4), pages 447-459.
  • Handle: RePEc:bla:jorssc:v:57:y:2008:i:4:p:447-459

    Download full text from publisher

    File URL:
    File Function: link to full text
    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.

    References listed on IDEAS

    1. Richard M. Huggins & Peter Hall & Paul S. F. Yip & Quang M. Bui, 2007. "Applications of Additive Semivarying Coefficient Models: Monthly Suicide Data from Hong Kong," Biometrics, The International Biometric Society, vol. 63(3), pages 708-713, September.
    2. Jens Perch Nielsen, 2001. "Boundary and Bias Correction in Kernel Hazard Estimation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 28(4), pages 675-698.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Access and download statistics


    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:bla:jorssc:v:57:y:2008:i:4:p:447-459. 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.