This paper discusses a symptotic behavior of one-and two-parameter Poisson-Dirichlet models, that is, Ewens models and its two parameter extensions by Pitman, and show that their a symptotic behavior arevery different. The paper shows asymptotic properties of a class of one-and two-parameter Poisson-Dirichlet distribution models are drastically different. Convergence behavioris expressedin termsof generalized Mittag-Leffler distributions in the statistics literature. The coefficients of variations of suitably normalized number of clusters andof clusters of specific sizesdo not vanish in the two-parameter version, but they do in one-parameter Ewens models.本文フィルはリンク先を参照のこ
This thesis is based on Masanao Aoki's idea to use Poisson-Dirichlet sampling formulas and models o...
This paper provides a countable representation for a class of infinite-dimensional diffusions which ...
International audienceWe consider a general class of epidemic models obtained by applying the random...
This paper discusses a symptotic behavior of one-and two-parameter Poisson-Dirichlet models, that is...
This paper examines asymptotic behavior of two types of economic or financial models with many inter...
This paper uses novel growth models composed of clusters of heterogeneous agents, and shows that lim...
This paper examines asymptotic behavior of two types of economic or fi-nancial models with many inte...
This paper discusses non-exponential growth patterns of macroeconomic models. More specifically, the...
This paper uses novel growth models composed of clusters of heterogeneous agents,and shows that limi...
The new approaches to macroeconomic modelling that describe macroscopic variables in terms of the be...
This paper outlines the applications of one-and two-parameter Poisson-Dirichlet distributions to des...
This paper describes examples of non-self averaging phenomena drawn from macroeconomic and physics f...
A large deviation principle is established for the Poisson-Dirichlet distribution when the mutation ...
The study of random partitions has been an active research area in probability over the last twenty ...
Non-self averaging, Coefficients of variations, Poisson–Dirichlet distributions, Mittag–Leffler dist...
This thesis is based on Masanao Aoki's idea to use Poisson-Dirichlet sampling formulas and models o...
This paper provides a countable representation for a class of infinite-dimensional diffusions which ...
International audienceWe consider a general class of epidemic models obtained by applying the random...
This paper discusses a symptotic behavior of one-and two-parameter Poisson-Dirichlet models, that is...
This paper examines asymptotic behavior of two types of economic or financial models with many inter...
This paper uses novel growth models composed of clusters of heterogeneous agents, and shows that lim...
This paper examines asymptotic behavior of two types of economic or fi-nancial models with many inte...
This paper discusses non-exponential growth patterns of macroeconomic models. More specifically, the...
This paper uses novel growth models composed of clusters of heterogeneous agents,and shows that limi...
The new approaches to macroeconomic modelling that describe macroscopic variables in terms of the be...
This paper outlines the applications of one-and two-parameter Poisson-Dirichlet distributions to des...
This paper describes examples of non-self averaging phenomena drawn from macroeconomic and physics f...
A large deviation principle is established for the Poisson-Dirichlet distribution when the mutation ...
The study of random partitions has been an active research area in probability over the last twenty ...
Non-self averaging, Coefficients of variations, Poisson–Dirichlet distributions, Mittag–Leffler dist...
This thesis is based on Masanao Aoki's idea to use Poisson-Dirichlet sampling formulas and models o...
This paper provides a countable representation for a class of infinite-dimensional diffusions which ...
International audienceWe consider a general class of epidemic models obtained by applying the random...