19 citations · 66 across the 21 of their papers we have counts for
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Bayesian nonparametric location-scale-shape mixtures
Antonio Canale, Bruno Scarpa
Discrete mixture models are one of the most successful approaches for density estimation. Under a Bayesian nonparametric framework, Dirichlet process location-scale mixture of Gaus…
Nonparametric Bayes modeling of count processes
Antonio Canale, David B. Dunson
Data on count processes arise in a variety of applications, including longitudinal, spatial and imaging studies measuring count responses. The literature on statistical models for…
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…
Informative Bayesian inference for the skew-normal distribution
Antonio Canale, Bruno Scarpa
Motivated by the analysis of the distribution of university grades, which is usually asymmetric, we discuss two informative priors for the shape parameter of the skew-normal distri…