162 citations · 187 across the 8 of their papers we have counts for
5 papers · 1 filter
Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process
Pierpaolo De Blasi, Ramsés H. Mena, Igor Prünster
Discrete random probability measures are a key ingredient of Bayesian nonparametric inferential procedures. A sample generates ties with positive probability and a fundamental obje…
Posterior asymptotics in Wasserstein metrics on the real line
Minwoo Chae, Pierpaolo De Blasi, Stephen G. Walker
In this paper, we use the class of Wasserstein metrics to study asymptotic properties of posterior distributions. Our first goal is to provide sufficient conditions for posterior c…
Confidence distributions from likelihoods by median bias correction
Pierpaolo De Blasi, Tore Schweder
By the modified directed likelihood, higher order accurate confidence limits for a scalar parameter are obtained from the likelihood. They are conveniently described in terms of a…
Are Gibbs-type priors the most natural generalization of the Dirichlet process?
P. De Blasi, S. Favaro, A. Lijoi +3
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 inf…
Posterior asymptotics of nonparametric location-scale mixtures for multivariate density estimation
Antonio Canale, Pierpaolo De Blasi
Density estimation represents one of the most successful applications of Bayesian nonparametrics. In particular, Dirichlet process mixtures of normals are the gold standard for den…