activity
20052009
most citedBayesian nonparametric estimators derived from conditional Gibbs structures

48 citations · 141 across the 4 of their papers we have counts for

collaborators

5 papers

math.ST200923 cited

Asymptotics for posterior hazards

Pierpaolo De Blasi, Giovanni Peccati, Igor Prünster

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…

math.PR200848 cited

Bayesian nonparametric estimators derived from conditional Gibbs structures

Antonio Lijoi, Igor Prünster, Stephen G. Walker

We consider discrete nonparametric priors which induce Gibbs-type exchangeable random partitions and investigate their posterior behavior in detail. In particular, we deduce condit…

math.ST200736 cited

On rates of convergence for posterior distributions in infinite-dimensional models

Stephen G. Walker, Antonio Lijoi, Igor Prünster

This paper introduces a new approach to the study of rates of convergence for posterior distributions. It is a natural extension of a recent approach to the study of Bayesian consi…

math.PR200634 cited

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

Lancelot F. James, Antonio Lijoi, Igor Prünster

The present paper provides exact expressions for the probability distributions of linear functionals of the two-parameter Poisson--Dirichlet process . We o…

math.ST2005

Normalized random measures driven by increasing additive processes

Luis E. Nieto-Barajas, Igor Prunster, Stephen G. Walker

This paper introduces and studies a new class of nonparametric prior distributions. Random probability distribution functions are constructed via normalization of random measures d…