TY - JOUR
T1 - Generalised Poisson-Dirichlet Distributions Based on the Dickman Subordinator
AU - Maller, R.
AU - Shemehsavar, S.
N1 - Publisher Copyright:
© 2023 Society for Industrial and Applied Mathematics.
PY - 2023
Y1 - 2023
N2 - We study exchangeable random partitions based on an underlying Dickman subordinator and the corresponding family of Poisson-Dirichlet distributions. The large sample distribution of the vector representing the block sizes and the number of blocks in a partition of {1, 2, . . . , n} is shown to be, after norming and centering, a product of independent Poissons and a normal distribution. In a species or gene sampling situation, these quantities represent the abundances and the numbers of species or genes observed in a sample of size n from the corresponding Poisson-Dirichlet distribution. We include a summary of known convergence results concerning the Dickman subordinator in this context.
AB - We study exchangeable random partitions based on an underlying Dickman subordinator and the corresponding family of Poisson-Dirichlet distributions. The large sample distribution of the vector representing the block sizes and the number of blocks in a partition of {1, 2, . . . , n} is shown to be, after norming and centering, a product of independent Poissons and a normal distribution. In a species or gene sampling situation, these quantities represent the abundances and the numbers of species or genes observed in a sample of size n from the corresponding Poisson-Dirichlet distribution. We include a summary of known convergence results concerning the Dickman subordinator in this context.
KW - Dickman subordinator and distribution
KW - Ewens sampling formula
KW - exchangeable random partitions
KW - generalized Poisson–Dirichlet laws
KW - negative binomial point process
KW - species sampling models
UR - http://www.scopus.com/inward/record.url?scp=85153254735&partnerID=8YFLogxK
U2 - 10.1137/S0040585X97T991167
DO - 10.1137/S0040585X97T991167
M3 - Article
SN - 0040-585X
VL - 67
SP - 593
EP - 612
JO - Theory of Probability and its Applications
JF - Theory of Probability and its Applications
IS - 4
ER -