E. Dolera

activity

20092026

most citedReaching the best possible rate of convergence to equilibrium for solutions of Kac's equation via central limit theorem

34 citations · 74 across the 25 of their papers we have counts for

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12 papers · 1 filter

math.PR2026

The variance of the Pitman--Yor process: Cifarelli--Regazzini-type identities and inversion formulas

Emanuele Dolera, Stefano Favaro

The Cifarelli--Regazzini identity lies at the foundation of the theory of the Dirichlet process and has played a central role in Bayesian nonparametric statistics. By providing the…

math.PR2026

A Central Limit Theorem for the Ewens-Pitman random partition in the large- $θ$ regime via a martingale approach

Bernard Bercu, Claudia Contardi, Emanuele Dolera +1

The Ewens-Pitman model defines a distribution on random partitions of ${1, \dots, n}$ , with parameters $α \in [0, 1)$ and $θ > - α$ ; the case $α = 0$ reduces to the classical Ewens mode…

math.PR2024

Laws of large numbers and central limit theorem for Ewens-Pitman model

Claudia Contardi, Emanuele Dolera, Stefano Favaro

The Ewens-Pitman model is a distribution for random partitions of the set ${1, \dots, n}$ , with $n \in N$ , indexed by parameters $α \in [0, 1)$ and $θ > - α$ , such that $α = 0$ is…

math.PR2022

A counterexample to $L^{\infty}$ -gradient type estimates for Ornstein-Uhlenbeck operators

Emanuele Dolera, Enrico Priola

Let $(λ_{k})$ be a strictly increasing sequence of positive numbers such that $\sum_{k = 1}^{\infty} \frac{1}{λ _{k}} < \infty.$ Let $f$ be a bounded smooth function and denote by $u= u^…

math.PR2021

A compound Poisson perspective of Ewens-Pitman sampling model

Emanuele Dolera, Stefano Favaro

The Ewens-Pitman sampling model (EP-SM) is a distribution for random partitions of the set ${1, \dots, n}$ , with $n \in N$ , which is index by real parameters $α$ and $θ$ su…

math.PR2020

Lipschitz continuity of probability kernels in the optimal transport framework

Emanuele Dolera, Edoardo Mainini

In Bayesian statistics, a continuity property of the posterior distribution with respect to the observable variable is crucial as it expresses well-posedness, i.e., stability with…