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

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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Summary. 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.

Original languageEnglish
Pages (from-to)447-459
Number of pages13
JournalJournal of the Royal Statistical Society. Series C: Applied Statistics
Volume57
Issue number4
DOIs
Publication statusPublished - Sept 2008
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Counting process
  • Martingale
  • Non-parametric procedure
  • Partial observation
  • Suicide cases

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