Politi, Mauro, Kaizoji, Taisei and Scalas, Enrico (2011) Full characterization of the fractional Poisson process. Europhysics Letters, 96 (2). p. 20004. ISSN 0295-5075
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Abstract
The fractional Poisson process (FPP) is a counting process with independent and identically distributed inter-event times following the Mittag-Leffler distribution. This process is very useful in several fields of applied and theoretical physics including models for anomalous diffusion. Contrary to the well-known Poisson process, the fractional Poisson process does not have stationary and independent increments. It is not a L\'evy process and it is not a Markov process. In this letter, we present formulae for its finite-dimensional distribution functions, fully characterizing the process. These exact analytical results are compared to Monte Carlo simulations.
Item Type: | Article |
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Schools and Departments: | School of Mathematical and Physical Sciences > Mathematics |
Subjects: | Q Science > QA Mathematics > QA0273 Probabilities. Mathematical statistics |
Related URLs: | |
Depositing User: | Enrico Scalas |
Date Deposited: | 07 Oct 2013 18:10 |
Last Modified: | 22 Mar 2017 18:41 |
URI: | http://srodev.sussex.ac.uk/id/eprint/46606 |
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