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Generalized Iterated Poisson Process and Applications

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  • Ritik Soni

    (Central University of Punjab)

  • Ashok Kumar Pathak

    (Central University of Punjab)

Abstract

In this paper, we consider the composition of a homogeneous Poisson process with an independent time-fractional Poisson process. We call this composition the generalized iterated Poisson process (GIPP). The probability law in terms of the fractional Bell polynomials, governing fractional differential equations, and the compound representation of the GIPP are obtained. We give explicit expressions for mean and covariance and study the long-range dependence property of the GIPP. It is also shown that the GIPP is over-dispersed. Some results related to first-passage time distribution and the hitting probability are also examined. We define the compound and the multivariate versions of the GIPP and explore their main characteristics. Further, we consider a surplus model based on the compound version of the iterated Poisson process (IPP) and derive several results related to ruin theory. Its applications using the Poisson–Lindley and the zero-truncated geometric distributions are also provided. Finally, simulated sample paths for the IPP and the GIPP are presented.

Suggested Citation

  • Ritik Soni & Ashok Kumar Pathak, 2024. "Generalized Iterated Poisson Process and Applications," Journal of Theoretical Probability, Springer, vol. 37(4), pages 3216-3245, November.
    • Handle: RePEc:spr:jotpro:v:37:y:2024:i:4:d:10.1007_s10959-024-01362-0
    DOI: 10.1007/s10959-024-01362-0
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    References listed on IDEAS

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    1. Cha, Ji Hwan, 2019. "Poisson Lindley process and its main properties," Statistics & Probability Letters, Elsevier, vol. 152(C), pages 74-81.
    2. Kumar, A. & Nane, Erkan & Vellaisamy, P., 2011. "Time-changed Poisson processes," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1899-1910.
    3. Yuying Li & Kristina P. Sendova, 2020. "A surplus process involving a compound Poisson counting process and applications," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(13), pages 3238-3256, July.
    4. A. Maheshwari & P. Vellaisamy, 2019. "Fractional Poisson Process Time-Changed by Lévy Subordinator and Its Inverse," Journal of Theoretical Probability, Springer, vol. 32(3), pages 1278-1305, September.
    5. Orsingher, Enzo & Polito, Federico, 2012. "The space-fractional Poisson process," Statistics & Probability Letters, Elsevier, vol. 82(4), pages 852-858.
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    Cited by:

    1. Ritik Soni & Ashok Kumar Pathak, 2024. "Generalized Fractional Risk Process," Methodology and Computing in Applied Probability, Springer, vol. 26(4), pages 1-17, December.

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