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Ordered thinnings of point processes and random measures

Author

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  • Böker, Fred
  • Serfozo, Richard

Abstract

This is a study of thinnings of point processes and random measures on the real line that satisfy a weak law of large numbers. The thinning procedures have dependencies based on the order of the points or masses being thinned such that the thinned process is a composition of two random measures. It is shown that the thinned process (normalized by a certain function) converges in distribution if and only if the thinning process does. This result is used to characterize the convergence of thinned processes to infinitely divisible processes, such as a compound Poisson process, when the thinning is independent and nonhomogeneous, stationary, Markovian, or regenerative. Thinning by a sequence of independent identically distributed operations is also discussed. The results here contain Renyi's classical thinning theorem and many of its extensions.

Suggested Citation

  • Böker, Fred & Serfozo, Richard, 1983. "Ordered thinnings of point processes and random measures," Stochastic Processes and their Applications, Elsevier, vol. 15(2), pages 113-132, July.
    • Handle: RePEc:eee:spapps:v:15:y:1983:i:2:p:113-132
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    Cited by:

    1. Browne, Sid & Bunge, John, 1995. "Random record processes and state dependent thinning," Stochastic Processes and their Applications, Elsevier, vol. 55(1), pages 131-142, January.
    2. Vellaisamy, P. & Chaudhuri, B., 1999. "On compound Poisson approximation for sums of random variables," Statistics & Probability Letters, Elsevier, vol. 41(2), pages 179-189, January.

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