Multivariate Geometric Stable Laws

T. J. Kozubowski, S. T. Rachev

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


The paper discusses recent advances in the theory of multivariate geometric stable (GS) distributions. The results presented include characterizations, mixture representations, properties, simulation, and estimation.

Original languageEnglish
Pages (from-to)349-385
Number of pages37
JournalJournal of Computational Analysis and Applications
Issue number4
StatePublished - 1999


  • Estimation
  • Geometric compound
  • Heavy-tail modeling
  • Linnik distribution
  • Mittag-Leffler law
  • Mixture
  • Multivariate Laplace distribution
  • Random summation
  • Simulation
  • Subordination

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