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A generalised Dickman distribution and the number of species in a negative binomial process model
Journal article   Peer reviewed

A generalised Dickman distribution and the number of species in a negative binomial process model

Yuguang F Ipsen, R. Maller and Soudabeh Shemehsavar
Advances in applied probability, Vol.53(2), pp.370-399
2021

Abstract

Generalised Poisson-Dirichlet laws negative binomial point process number of species Ewens sampling formula size-biased sampling generalised Dickman distribution
We derive the large-sample distribution of the number of species in a version of Kingman's Poisson-Dirichlet model constructed from α-stable subordinator but with an underlying negative binomial process instead of a Poisson process. Thus it depends on parameters a. (0, 1) from the subordinator and r > 0 from the negative binomial process. The large-sample distribution of the number of species is derived as sample size n ->infinity. An important component in the derivation is the introduction of a two-parameter version of the Dickman distribution, generalising the existing one-parameter version. Our analysis adds to the range of Poisson-Dirichlet-related distributions available for modeling purposes.

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Citation topics
9 Mathematics
9.50 Applied Statistics & Probability
9.50.372 Stochastic Processes
Web Of Science research areas
Statistics & Probability
ESI research areas
Mathematics
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