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Dive into the research topics where Luca Pratelli is active.

Publication


Featured researches published by Luca Pratelli.


Annals of Probability | 2004

Limit theorems for a class of identically distributed random variables

Patrizia Berti; Luca Pratelli; Pietro Rigo

A new type of stochastic dependence for a sequence of random variables is introduced and studied. Precisely, (Xn)n≥1 is said to be conditionally identically distributed (c.i.d.), with respect to a filtration


Stochastics and Stochastics Reports | 2006

Almost sure weak convergence of random probability measures

Patrizia Berti; Luca Pratelli; Pietro Rigo

(\mathcal{G}_{n})_{n\geq 0}


Journal of Applied Probability | 2011

A central limit theorem and its applications to multicolor randomly reinforced urns

Patrizia Berti; Irene Crimaldi; Luca Pratelli; Pietro Rigo

, if it is adapted to


Bernoulli | 2009

Rate of convergence of predictive distributions for dependent data

Patrizia Berti; Irene Crimaldi; Luca Pratelli; Pietro Rigo

(\mathcal{G}_{n})_{n\geq 0}


Annals of Applied Probability | 2015

CENTRAL LIMIT THEOREMS FOR AN INDIAN BUFFET MODEL WITH RANDOM WEIGHTS

Patrizia Berti; Irene Crimaldi; Luca Pratelli; Pietro Rigo

and, for each n≥0, (Xk)k>n is identically distributed given the past


Statistics and Computing | 2014

A note on a universal random variate generator for integer-valued random variables

Lucio Barabesi; Luca Pratelli

\mathcal{G}_{n}


Journal of Statistical Computation and Simulation | 2015

Universal methods for generating random variables with a given characteristic function

Lucio Barabesi; Luca Pratelli

. In case


Annals of Probability | 2008

Trivial intersection of σ-fields and Gibbs sampling

Patrizia Berti; Luca Pratelli; Pietro Rigo

\mathcal{G}_{0}=\{\varnothing,\Omega\}


Annals of Probability | 2013

Exchangeable Sequences Driven by an Absolutely Continuous Random Measure

Patrizia Berti; Luca Pratelli; Pietro Rigo

and


Biometrika | 2017

Design-based asymptotics for two-phase sampling strategies in environmental surveys

Lorenzo Fattorini; Marzia Marcheselli; Caterina Pisani; Luca Pratelli

\mathcal{G}_{n}=\sigma(X_{1},\ldots,X_{n})

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Patrizia Berti

University of Modena and Reggio Emilia

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Fabio Spizzichino

Sapienza University of Rome

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