Poisson-Gamma mixture processes and applications to premium calculation

  • Shujin Wu*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In the paper, Poisson-Gamma mixture process is first brought forward, which is dynamically expanded from the well-known Poisson-Gamma mixture model. Some properties on Poisson-Gamma mixture process are presented, including the distribution of increment, Markov property, infinitesimal generator, joint density function of jump/waiting times, and the limit distribution of compound Poisson-Gamma mixture process, etc., which provide a thorough grounding in application of Poisson-Gamma mixture process. At last, some premium calculation principles are presented to show the application of Poisson-Gamma mixture process, which include expected value premium, stop-loss premium, mean-variance premium, and exponential premium.

Original languageEnglish
Pages (from-to)5913-5936
Number of pages24
JournalCommunications in Statistics - Theory and Methods
Volume51
Issue number17
DOIs
StatePublished - 2022

Keywords

  • 37C75
  • 60H10
  • Gamma process
  • Mixture model
  • Poisson process
  • premium calculation

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