The space-fractional Poisson process

By Enzo Orsingher, Federico Polito. 2011

116 citations recorded by the source corpus.

In this paper, we introduce the space-fractional Poisson process whose state probabilities pkα(t), t≥0, α∈(0,1], are governed by the equations (d/dt)pkα(t)=−λα(1−B)αpkα(t), where (1−B)α is the fractional difference operator found in the time series analysis. We explicitly obtain the distributions pkα(t), the probability generating functions Gα(u,t), which are also expressed as distributions of the minimum of i.i.d. uniform random variables. The comparison with the time-fractional Poisson process is investigated and finally, we arrive at the more general space–time-fractional Poisson process of which we give the explicit distribution.

Subfields: Applied Mathematics, Modeling and Simulation, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/df2f5c8c3f079cb210a85329b8ea8e2bfce48061

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In Applied Mathematics

  1. Federico Polito
  2. Enzo Orsingher
  3. Roberto Garra
  4. A. Di Crescenzo
  5. Barbara Martinucci
  6. Alessandra Meoli
  7. Sergei Rogosin
  8. Luisa Beghin

In Modeling and Simulation

  1. Federico Polito
  2. Roberto Garra
  3. Enzo Orsingher
  4. A. Di Crescenzo
  5. Barbara Martinucci
  6. Alessandra Meoli
  7. Sergei Rogosin
  8. Luisa Beghin

In Statistics and Probability

  1. A. Di Crescenzo
  2. Federico Polito
  3. Enzo Orsingher
  4. M. Longobardi

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