Fractional Poisson Process Time-Changed by Lévy Subordinator and Its Inverse

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Abstract

In this paper, we study the fractional Poisson process (FPP) time-changed by an independent Lévy subordinator and the inverse of the Lévy subordinator, which we call TCFPP-I and TCFPP-II, respectively. Various distributional properties of these processes are established. We show that, under certain conditions, the TCFPP-I has the long-range dependence property, and also its law of iterated logarithm is proved. It is shown that the TCFPP-II is a renewal process and its waiting time distribution is identified. The bivariate distributions of the TCFPP-II are derived. Some specific examples for both the processes are discussed. Finally, we present simulations of the sample paths of these processes.

Keywords

Lévy subordinator Fractional Poisson process Simulation 

Mathematics Subject Classification (2010)

60G22 60G55 

Notes

Acknowledgements

A part of this work was done while the second author was visiting the Department of Statistics and Probability, Michigan State University, during Summer 2016. The authors thank the referee for some useful comments.

References

  1. 1.
    Aletti, G., Leonenko, N., Merzbach, E.: Fractional Poisson fields and martingales. (2016) arXiv:1601.08136
  2. 2.
    Alrawashdeh, M.S., Kelly, J.F., Meerschaert, M.M., Scheffler, H.-P.: Applications of inverse tempered stable subordinators. Comput. Math. Appl. 73, 892–905 (2016)MathSciNetCrossRefGoogle Scholar
  3. 3.
    Applebaum, D.: Lévy Processes and Stochastic Calculus, 2nd edn. Cambridge University Press, Cambridge (2009)CrossRefMATHGoogle Scholar
  4. 4.
    Avramidis, A.N., L’ecuyer, P., Tremblay, P.-A.: Efficient simulation of gamma and variance-gamma processes. In: Simulation Conference, 2003. Proceedings of the 2003 Winter 1, pp. 319–326 (2003)Google Scholar
  5. 5.
    Beghin, L., Orsingher, E.: Fractional Poisson processes and related planar random motions. Electron. J. Probab. 14, 1790–1827 (2009)MathSciNetCrossRefMATHGoogle Scholar
  6. 6.
    Beghin, L., Orsingher, E.: Poisson-type processes governed by fractional and higher-order recursive differential equations. Electron. J. Probab. 15, 684–709 (2010)MathSciNetCrossRefMATHGoogle Scholar
  7. 7.
    Beghin, L., Macci, C.: Fractional discrete processes: compound and mixed Poisson representations. J. Appl. Probab. 51, 9–36 (2014)MathSciNetCrossRefMATHGoogle Scholar
  8. 8.
    Beghin, L., Vellaisamy, P.: Space-fractional versions of the negative binomial and Polya-type processes. Comput. Appl. Probab. Methodol. (2017).  https://doi.org/10.1007/s11009-017-9561-8
  9. 9.
    Bertoin, J.: Lévy Processes. Cambridge University Press, Cambridge (1996)MATHGoogle Scholar
  10. 10.
    Bingham, N.H.: Limit theorems for occupation times of Markov processes. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 17, 1–22 (1971)MathSciNetCrossRefMATHGoogle Scholar
  11. 11.
    Buchak, K., Sakhno, L.: Compositions of Poisson and gamma processes. Mod. Stoch. Theory Appl. 4, 161–188 (2017)MathSciNetCrossRefMATHGoogle Scholar
  12. 12.
    Cahoy, D.O., Uchaikin, V.V., Woyczynski, W.A.: Parameter estimation for fractional Poisson processes. J. Stat. Plan. Inference 140, 3106–3120 (2010)MathSciNetCrossRefMATHGoogle Scholar
  13. 13.
    Cont, R., Tankov, P.: Financial Modelling with Jump Processes. Chapman & Hall/CRC, Boca Raton (2004)MATHGoogle Scholar
  14. 14.
    Cox, D.R., Lewis, P.A.W.: The Statistical Analysis of Series of Events. Wiley, New York (1966)CrossRefMATHGoogle Scholar
  15. 15.
    D’Ovidio, M., Nane, E.: Time dependent random fields on spherical non-homogeneous surfaces. Stoch. Process. Appl. 124, 2098–2131 (2014)MathSciNetCrossRefMATHGoogle Scholar
  16. 16.
    Hofert, M.: Sampling exponentially tilted stable distributions. ACM Trans. Model. Comput. Simul. 22, 3 (2011)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Jørgensen, B.: Statistical properties of the generalized inverse Gaussian distribution. In: Lecture Notes in Statistics, vol. 9. Springer, New York (1982)Google Scholar
  18. 18.
    Jumarie, G.: Fractional master equation: non-standard analysis and Liouville–Riemann derivative. Chaos Solitons Fractals 12, 2577–2587 (2001)MathSciNetCrossRefMATHGoogle Scholar
  19. 19.
    Kanter, M.: Stable densities under change of scale and total variation inequalities. Ann. Probab. 3, 697–707 (1975)MathSciNetCrossRefMATHGoogle Scholar
  20. 20.
    Kumar, A., Nane, E., Vellaisamy, P.: Time-changed Poisson processes. Stat. Probab. Lett. 81, 1899–1910 (2011)MathSciNetCrossRefMATHGoogle Scholar
  21. 21.
    Kumar, A., Vellaisamy, P.: Inverse tempered stable subordinators. Stat. Probab. Lett. 103, 134–141 (2015)MathSciNetCrossRefMATHGoogle Scholar
  22. 22.
    Kumar, A., Wyłomańska, A., Połoczański, R., Sundar, S.: Fractional Brownian motion time-changed by gamma and inverse gamma process. Physica A 468, 648–667 (2017)MathSciNetCrossRefGoogle Scholar
  23. 23.
    Laskin, N.: Fractional Poisson process. Commun. Nonlinear Sci. Numer. Simul. 8, 201–213 (2003)MathSciNetCrossRefMATHGoogle Scholar
  24. 24.
    Leonenko, N.N., Meerschaert, M.M., Schilling, R.L., Sikorskii, A.: Correlation structure of time-changed Lévy processes. Commun. Appl. Ind. Math. 6, e-483 (2014)MATHGoogle Scholar
  25. 25.
    Leonenko, N.N., Merzbach, E.: Fractional Poisson fields. Methodol. Comput. Appl. 17, 155–168 (2015)MathSciNetCrossRefMATHGoogle Scholar
  26. 26.
    Leonenko, N.N., Scalas, E., Trinh, M.: The fractional non-homogeneous Poisson process. Stat. Probab. Lett. 120, 147–156 (2017)MathSciNetCrossRefMATHGoogle Scholar
  27. 27.
    Maheshwari, A., Vellaisamy, P.: Non-homogeneous space-time fractional Poisson processes. arXiv:1607.06016 [math.PR] (2017)
  28. 28.
    Maheshwari, A., Vellaisamy, P.: On the long-range dependence of fractional Poisson and negative binomial processes. J. Appl. Probab. 53, 989–1000 (2016)MathSciNetCrossRefMATHGoogle Scholar
  29. 29.
    Mainardi, F., Gorenflo, R., Scalas, E.: A fractional generalization of the Poisson processes. Vietnam J. Math. 32, 53–64 (2004)MathSciNetMATHGoogle Scholar
  30. 30.
    Meerschaert, M.M., Nane, E., Vellaisamy, P.: The fractional Poisson process and the inverse stable subordinator. Electron. J. Probab. 16, 1600–1620 (2011)MathSciNetCrossRefMATHGoogle Scholar
  31. 31.
    Meerschaert, M.M., Scheffler, H.-P.: Limit theorems for continuous-time random walks with infinite mean waiting times. J. Appl. Probab. 41, 623–638 (2004)MathSciNetCrossRefMATHGoogle Scholar
  32. 32.
    Mittag-Leffler, G.M.: Sur la nouvelle fonction \(E_\alpha (x)\). C. R. Acad. Sci. Paris 137, 554–558 (1903)MATHGoogle Scholar
  33. 33.
    Orsingher, E., Polito, F.: The space-fractional Poisson process. Stat. Probab. Lett. 82, 852–858 (2012)MathSciNetCrossRefMATHGoogle Scholar
  34. 34.
    Orsingher, E., Polito, F.: On the integral of fractional Poisson processes. Stat. Probab. Lett. 83, 1006–1017 (2013)MathSciNetCrossRefMATHGoogle Scholar
  35. 35.
    Orsingher, E., Toaldo, B.: Counting processes with Bernštein intertimes and random jumps. J. Appl. Probab. 52, 1028–1044 (2015)MathSciNetCrossRefMATHGoogle Scholar
  36. 36.
    Prabhakar, T.R.: A singular integral equation with a generalized Mittag Leffler function in the kernel. Yokohama Math. J. 19, 7–15 (1971)MathSciNetMATHGoogle Scholar
  37. 37.
    Repin, O.R., Saichev, A.I.: Fractional Poisson law. Radiophys. Quantum Electron. 43, 738–741 (2000)MathSciNetCrossRefGoogle Scholar
  38. 38.
    Schilling, R.L., Song, R., Vondraček, Z.: Bernstein functions. In: de Gruyter Studies in Mathematics, vol. 37, 2nd edn. Walter de Gruyter & Co., Berlin (2012)Google Scholar
  39. 39.
    Veillette, M., Taqqu, M.S.: Numerical computation of first passage times of increasing Lévy processes. Methodol. Comput. Appl. Probab. 12, 695–729 (2010)MathSciNetCrossRefMATHGoogle Scholar
  40. 40.
    Vellaisamy, P., Kumar, A.: First-exit times of an inverse Gaussian process. To appear in Stochastics (2017) arXiv:1105.1468
  41. 41.
    Vellaisamy, P., Maheshwari, A.: Fractional negative binomial and Polya processes. To appear in Probab. Math. Statist. (2017)Google Scholar

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Authors and Affiliations

  1. 1.Operations Management and Quantitative Techniques AreaIndian Institute of Management IndoreIndoreIndia
  2. 2.Department of MathematicsIndian Institute of Technology BombayPowaiIndia

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