A Berry-Esseen theorem for Pitman's $\alpha$-diversity

Abstract

This paper is concerned with the study of the random variable $K_n$ denoting the number of distinct elements in a random sample $(X_1,\dots ,X_n)$ of exchangeable random variables driven by the two parameter Poisson-Dirichlet distribution, $PD(\alpha ,\theta )$. For $\alpha \in (0,1)$, Theorem 3.8 in \cite{Pit(06)} shows that $\frac{K_n}{n^{\alpha }}\stackrel{\text{a.s.}}{⟶}{S}_{\alpha ,\theta }$ as $n\to +\infty$. Here, $S_{\alpha ,\theta }$ is a random variable distributed according to the so-called scaled Mittag-Leffler distribution. Our main result states that $$ \sup_{x \geq 0} \Big| \ppsf\Big[\frac{K_n}{n^α} \leq x \Big] - \ppsf[S_{α,θ} \leq x] \Big| \leq \frac{C(α, θ)}{n^α} $$ holds with an explicit constant $C(\alpha ,\theta )$. The key ingredients of the proof are a novel probabilistic representation of $K_n$ as compound distribution and new, refined versions of certain quantitative bounds for the Poisson approximation and the compound Poisson distribution.

References in corpus (3)

• Bounds for the ratio of two gamma functions--From Wendel's limit to Elezović-Giordano-Pečarić's theorem
• De Finetti's theorem: rate of convergence in Kolmogorov distance
• Concentration in the Generalized Chinese Restaurant Process

Cited by in corpus (2)

• Phase transitions of composition schemes: Mittag-Leffler and mixed Poisson distributions
• Evaluating moments of length of Pitman partition