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Space-Fractional Versions of the Negative Binomial and Polya-Type Processes

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Abstract

In this paper, we introduce a space fractional negative binomial process (SFNB) by time-changing the space fractional Poisson process by a gamma subordinator. Its one-dimensional distributions are derived in terms of generalized Wright functions and their governing equations are obtained. It is a Lévy process and the corresponding Lévy measure is given. Extensions to the case of distributed order SFNB, where the fractional index follows a two-point distribution, are investigated in detail. The relationship with space fractional Polya-type processes is also discussed. Moreover, we define and study multivariate versions, which we obtain by time-changing a d-dimensional space-fractional Poisson process by a common independent gamma subordinator. Some applications to population’s growth and epidemiology models are explored. Finally, we discuss algorithms for the simulation of the SFNB process.

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Acknowledgements

The authors thank Mr. A. Maheshwari for his simulations and computational help. They are also grateful to Prof. C. Macci for his careful reading of the paper and suggesting some useful comments. The authors thank also the referee for some helpful comments.

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Authors and Affiliations

  1. Department of Statistical Sciences, Sapienza University of Rome, P.le A. Moro 5, I-00185, Roma, Italy

    L. Beghin

  2. Indian Institute of Technology Bombay, Mumbai, Powai, 400076, India

    P. Vellaisamy

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  1. L. Beghin
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  2. P. Vellaisamy
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Correspondence to L. Beghin.

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Beghin, L., Vellaisamy, P. Space-Fractional Versions of the Negative Binomial and Polya-Type Processes. Methodol Comput Appl Probab 20, 463–485 (2018). https://doi.org/10.1007/s11009-017-9561-8

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  • DOI: https://doi.org/10.1007/s11009-017-9561-8

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