Open AccessRecent Developments in Mixed Poisson Distributions
Author(s) -
S. H. Ong,
Yeh Ching Low,
Kian Kok Toh
Publication year - 2021
Publication title -
asm science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.12
H-Index - 6
ISSN - 1823-6782
DOI - 10.32802/asmscj.2020.464
Subject(s) - poisson distribution , homogeneity (statistics) , statistical physics , random variable , compound poisson distribution , mathematics , poisson binomial distribution , zero inflated model , poisson regression , class (philosophy) , computation , statistics , compound poisson process , computer science , poisson process , physics , algorithm , population , artificial intelligence , sociology , demography
Mixed Poisson distributions are a class of distributions arising from the Poisson mean fluctuating as a random variable. Mixed Poisson distributions have been applied in diverse disciplines for modelling non-homogeneity in populations. This paper brings together recent work on this class of distributions with focus on specific models, computation and simulation, applications to stochastic and data modelling.