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Journal ArticleDOI

Fractional Poisson process

Nick Laskin
- 01 Sep 2003 - 
- Vol. 8, Iss: 3, pp 201-213
TLDR
In this article, a fractional non-Markov Poisson stochastic process has been developed based on fractional generalization of the Kolmogorov-Feller equation.
About
This article is published in Communications in Nonlinear Science and Numerical Simulation.The article was published on 2003-09-01. It has received 302 citations till now. The article focuses on the topics: Fractional Poisson process & Cox process.

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Citations
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Journal ArticleDOI

The Fractional Poisson Process and the Inverse Stable Subordinator

TL;DR: In this article, it was shown that a traditional Poisson process, with the time variable replaced by an independent inverse stable subordinator, is also a fractional poisson process with Mittag-Leffler waiting times, which unifies the two main approaches in stochastic theory of time-fractional diffusion equations.
Journal ArticleDOI

Fractional Poisson processes and related planar random motions

TL;DR: In this article, three different fractional versions of the standard Poisson process and some related results concerning the distribution of order statistics and the compound poisson process are presented, and a planar random motion described by a particle moving at finite velocity and changing direction at times spaced by fractional Poisson processes is presented.
Journal ArticleDOI

Hilfer–Prabhakar derivatives and some applications

TL;DR: A generalization of Hilfer derivatives in which Riemann–Liouville integrals are replaced by more general Prabhakar integrals is presented, which shows some applications in classical equations of mathematical physics such as the heat and the free electron laser equations.
Journal ArticleDOI

Nonergodicity of Blinking Nanocrystals and Other Levy-Walk Processes

TL;DR: Beyond blinking nanocrystals, the results describe ergodicity breaking in systems modeled by Lévy walks, for example, certain types of chaotic maps and spin dynamics to name a few.
Journal ArticleDOI

The space-fractional Poisson process

TL;DR: In this paper, the authors introduce the space-fractional Poisson process whose state probabilities p, t, t > 0, � 2 (0,1), are governed by the equations (d/dt)pk(t) = � � (1 B)p � (t), where (B) is the fractional difference operator found in the study of time series analysis.
References
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An Introduction To Probability Theory And Its Applications

TL;DR: A First Course in Probability (8th ed.) by S. Ross is a lively text that covers the basic ideas of probability theory including those needed in statistics.
Book

An Introduction to the Fractional Calculus and Fractional Differential Equations

TL;DR: The Riemann-Liouville Fractional Integral Integral Calculus as discussed by the authors is a fractional integral integral calculus with integral integral components, and the Weyl fractional calculus has integral components.
Journal ArticleDOI

The random walk's guide to anomalous diffusion: a fractional dynamics approach

TL;DR: Fractional kinetic equations of the diffusion, diffusion-advection, and Fokker-Planck type are presented as a useful approach for the description of transport dynamics in complex systems which are governed by anomalous diffusion and non-exponential relaxation patterns.
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