Discrete-stable distribution

The discrete-stable distributions[1] are a class of probability distributions with the property that the sum of several random variables from such a distribution under appropriate scaling is distributed according to the same family. They are the discrete analogue of the continuous-stable distributions.

The discrete-stable distributions have been used in numerous fields, in particular in scale-free networks such as the internet, social networks[2] or even semantic networks.[3]

Both the discrete and continuous classes of stable distribution have properties such as infinite divisibility, power law tails and unimodality.

The most well-known discrete stable distribution is the Poisson distribution which is a special case.[4] It is the only discrete-stable distribution for which the mean and all higher-order moments are finite.[dubiousdiscuss]

  1. ^ Steutel, F. W.; van Harn, K. (1979). "Discrete Analogues of Self-Decomposability and Stability" (PDF). Annals of Probability. 7 (5): 893–899. doi:10.1214/aop/1176994950.
  2. ^ Barabási, Albert-László (2003). Linked: how everything is connected to everything else and what it means for business, science, and everyday life. New York, NY: Plum.
  3. ^ Steyvers, M.; Tenenbaum, J. B. (2005). "The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth". Cognitive Science. 29 (1): 41–78. arXiv:cond-mat/0110012. doi:10.1207/s15516709cog2901_3. PMID 21702767. S2CID 6000627.
  4. ^ Renshaw, Eric (2015-03-19). Stochastic Population Processes: Analysis, Approximations, Simulations. OUP Oxford. ISBN 978-0-19-106039-7.

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