Bulletin (New Series) of the American Mathematical Society

Review: Stewart N. Ethier and Thomas G. Kurtz, Markov processes: Characterization and convergence

David J. Aldous

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Article information

Source
Bull. Amer. Math. Soc. (N.S.), Volume 16, Number 2 (1987), 315-318.

Dates
First available in Project Euclid: 4 July 2007

Permanent link to this document
https://projecteuclid.org/euclid.bams/1183553847

Citation

Aldous, David J. Review: Stewart N. Ethier and Thomas G. Kurtz, Markov processes: Characterization and convergence. Bull. Amer. Math. Soc. (N.S.) 16 (1987), no. 2, 315--318. https://projecteuclid.org/euclid.bams/1183553847


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References

  • 1. P. Billingsley, Convergence of probability measures, Wiley, New York, 1968.
  • 2. A. A. Borovkov, Asymptotic methods in queueing theory, Wiley, New York, 1984.
  • 3. O. Kallenberg, Random measures (3rd. ed.), Academic Press, London, 1983.
  • 4. H. J. Kushner, Approximation and weak convergence methods for random processes, MIT Press, Cambridge, Mass., 1984.
  • 5. D. Pollard, Convergence of stochastic processes, Springer-Verlag, New York, 1984.
  • 6. D. Williams, Diffusions, Markov processes and martingales, Wiley, New York, 1979.