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Bayesian nonparametric inference is a relatively young area of research and it has recently undergone a strong development. Most of its success can be explained by the considerable degree of… (More)

- Antonio Lijoi, Ramsés H. Mena, Igor Prünster
- BMC Bioinformatics
- 2007

Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several statistical prediction problems… (More)

Gibbs–type random probability measures and the exchangeable random partitions they induce represent an important framework both from a theoretical and applied point of view. In the present paper,… (More)

The present paper provides exact expressions for the probability distribution of linear functionals of the two–parameter Poisson–Dirichlet process PD(α, θ). Distributional results that follow from… (More)

STEFANO FAVARO1,3,* , ANTONIO LIJOI2,3 and IGOR PRÜNSTER1,3,** 1Dipartimento di Statistica e Matematica Applicata, Università degli Studi di Torino C.so Unione Sovietica 218/bis, 10134 Torino, Italy.… (More)

A popular Bayesian nonparametric approach to survival analysis consists in modeling hazard rates as kernel mixtures driven by a completely random measure. In this paper we derive asymptotic results… (More)

- Igor Prünster
- 2007

An important issue in survival analysis is the investigation and the modeling of hazard rates. Within a Bayesian nonparametric framework, a natural and popular approach is to model hazard rates as… (More)

- Antonio Lijoi, Ramsés H. Mena, Igor Prünster
- Journal of Computational Biology
- 2008

Inference for Expressed Sequence Tags (ESTs) data is considered. We focus on evaluating the redundancy of a cDNA library and, more importantly, on comparing different libraries on the basis of their… (More)

The present paper provides a review of the results concerning distributional properties of means of random probability measures. Our interest in this topic has originated from inferential problems in… (More)

- Pierpaolo De Blasi, Stefano Favaro, Antonio Lijoi, Ramsés H. Mena, Igor Prünster, Matteo Ruggiero
- IEEE Transactions on Pattern Analysis and Machine…
- 2013

Discrete random probability measures and the exchangeable random partitions they induce are key tools for addressing a variety of estimation and prediction problems in Bayesian inference. Here we… (More)