23 citations · 57 across the 5 of their papers we have counts for
6 papers
Speeding up the ordered allocation sampler
Maria F. Gil-Leyva, Fidel Selva, Pierpaolo De Blasi
The ordered allocation sampler is a Gibbs sampler designed to explore the posterior distribution in nonparametric mixture models. It encompasses both infinite mixtures and finite m…
Bayesian nonparametric community detection in assortative stochastic block models
Martina Amongero, Pierpaolo De Blasi
Structured data in the form of networks are increasingly common in a number of fields, including the social sciences, biology, physics, computer science, and many others. A key tas…
A reversible allelic partition process and Pitman sampling formula
Matteo Giordano, Pierpaolo De Blasi, Matteo Ruggiero
We introduce a continuous-time Markov chain describing dynamic allelic partitions which extends the branching process construction of the Pitman sampling formula in Pitman (2006) a…
Stochastic approximations to the Pitman-Yor process
Julyan Arbel, Pierpaolo De Blasi, Igor Pruenster
In this paper we consider approximations to the popular Pitman-Yor process obtained by truncating the stick-breaking representation. The truncation is determined by a random stoppi…
Bayesian nonparametric estimation and consistency of mixed multinomial logit choice models
Pierpaolo De Blasi, Lancelot F. James, John W. Lau
This paper develops nonparametric estimation for discrete choice models based on the mixed multinomial logit (MMNL) model. It has been shown that MMNL models encompass all discrete…
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…