Skip to main content
Log in

Nonparametric estimation of intensities of nonhomogeneous Poisson processes

  • Articles
  • Published:
Statistical Papers Aims and scope Submit manuscript

Abstract

The problem of nonparametric estimation of the intensity of a nonhomogeneous Poisson process is considered. A kernel estimator of the intensity is introduced with data driven bandwidth. The bandwidth is obtained from an L2 cross validation procedure. Results on almost sure convergence of the estimator are obtained, provided the number of observed realizations n tends to infinity. The limiting distribution of the estimator is presented for n→∞.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Aalen, O O (1978) Nonparametric Inference for a Family of Counting Processes. Ann Statist 6: 701–726.

    Article  MATH  MathSciNet  Google Scholar 

  • Boel R, Varaiya P, Wong E (1975a), Martingales on Jump processes.—I: Representation Results. SIAM Journal Control 13: 999–1021.

    Article  MATH  MathSciNet  Google Scholar 

  • Boel R, Varaiya P, Wong E (1975b), Martingales on Jump Processes—II: Applications. SIAM Journal Control 13: 1022–1061.

    Article  MATH  MathSciNet  Google Scholar 

  • Devroye L (1985) Nonparametric Density Estimation. The L1-view. J. Wiley & Sons New York/ Chichester/ Brisbane/ Toronto/ Singapore.

    Google Scholar 

  • Elliot R J (1982) Stochastic Calculus and Applications, Springer-Verlag, New York/ Heidelberg/ Berlin.

    Google Scholar 

  • Hall P, Marron S (1987) On the Amount of Noise Inherent in Bandwidth Selection for a Kernel Density Estimator. Ann Statist 15: 163–181.

    Article  MATH  MathSciNet  Google Scholar 

  • Jacobsen M (1982) Statistical Analysis of Counting Processes, Springer New York/ Heidelberg/ Berlin.

    MATH  Google Scholar 

  • Lipzer R Sh, Shiryayev A N (1986), Martingale Theory, Nauka, Moscow (in Russian).

    Google Scholar 

  • Ramlau-Hansen H (1983) Smoothing Counting Process Intensities by Means of Kernel Functions. Ann Statist 11: 453–466.

    Article  MATH  MathSciNet  Google Scholar 

  • Scott D W, Terell G R (1987), Biased and Unbiased Cross-Validation in Density Estimation. J Amer Statist Assoc 82: 1131–1146.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schäbe, H. Nonparametric estimation of intensities of nonhomogeneous Poisson processes. Statistical Papers 34, 113–131 (1993). https://doi.org/10.1007/BF02925534

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02925534

Keywords

Navigation