The present paper provides exact expressions for the probability distributions of linear functionals of the two-parameter Poisson-Dirichlet process PD(\alpha,\theta). We obtain distributional results yielding exact forms for density functions of these functionals. Moreover, several interesting integral identities are obtained by exploiting a correspondence between the mean of a Poisson-Dirichlet process and the mean of a suitable Dirichlet process. Finally, some distributional characterizations in terms of mixture representations are proved. The usefulness of the results contained in the paper is demonstrated by means of some illustrative examples. Indeed, our formulae are relevant to occupation time phenomena connected with Brownian motion and more general Bessel processes, as well as to models arising in Bayesian nonparametric statistics.

Distributions of linear functionals of two-parameter Poisson-Dirichlet random measures

Lijoi A;
2008

Abstract

The present paper provides exact expressions for the probability distributions of linear functionals of the two-parameter Poisson-Dirichlet process PD(\alpha,\theta). We obtain distributional results yielding exact forms for density functions of these functionals. Moreover, several interesting integral identities are obtained by exploiting a correspondence between the mean of a Poisson-Dirichlet process and the mean of a suitable Dirichlet process. Finally, some distributional characterizations in terms of mixture representations are proved. The usefulness of the results contained in the paper is demonstrated by means of some illustrative examples. Indeed, our formulae are relevant to occupation time phenomena connected with Brownian motion and more general Bessel processes, as well as to models arising in Bayesian nonparametric statistics.
2008
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Bayesian nonparametric statistics
Cauchy-Stieltjes transform
Cifarelli-Regazzini identity
functionals of random probability measures
Poisson-Dirichlet process
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/40723
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