2020arXiv (Cornell University)Open access

Fractional Poisson Processes of Order K

Neha Gupta, Arun Kumar

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Abstract

In this article, we introduce and study time- and space-fractional Poisson processes of order k. These processes are defined in terms of fractional compound Poisson processes. Time-fractional Poisson process of order k naturally generalizes the Poisson process and Poisson process of order k to a heavy tailed waiting times counting process. The space-fractional Poisson process of order k, allows on average infinite number of arrivals in any interval. We derive the marginal probabilities, governing difference-differential equations of the introduced processes.

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In this article, we introduce and study time- and space-fractional Poisson processes of order k. These processes are defined in terms of fractional compound Poisson processes. Time-fractional Poisson process of order k naturally generalizes the Poisson process and Poisson process of order k to a heavy tailed waiting times counting process. The space-fractional Poisson process of order k, allows on average infinite number of arrivals in any interval. We derive the marginal probabilities, governing difference-differential equations of the introduced processes.

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Available abstract

In this article, we introduce and study time- and space-fractional Poisson processes of order k. These processes are defined in terms of fractional compound Poisson processes. Time-fractional Poisson process of order k naturally generalizes the Poisson process and Poisson process of order k to a heavy tailed waiting times counting process. The space-fractional Poisson process of order k, allows on average infinite number of arrivals in any interval. We derive the marginal probabilities, governing difference-differential equations of the introduced processes.

Key concepts: Poisson distribution, Compound Poisson process, Mathematics, Order (exchange), Discrete Poisson equation, Applied mathematics, Interval (graph theory), Zero-inflated model

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