1 citations · 1 across the 3 of their papers we have counts for
4 papers
Clustering blood donors via mixtures of product partition models with covariates
Raffaele Argiento, Riccardo Corradin, Alessandra Guglielmi +1
Motivated by the problem of accurately predicting gap times between successive blood donations, we present here a general class of Bayesian nonparametric models for clustering. The…
Contaminated Gibbs-type priors
Federico Camerlenghi, Riccardo Corradin, Andrea Ongaro
Gibbs-type priors are widely used as key components in several Bayesian nonparametric models. By virtue of their flexibility and mathematical tractability, they turn out to be pred…
Optimal stratification of survival data via Bayesian nonparametric mixtures
Riccardo Corradin, Luis Enrique Nieto-Barajas, Bernardo Nipoti
The stratified proportional hazards model represents a simple solution to account for heterogeneity within the data while keeping the multiplicative effect on the hazard function.…
Dirichlet process mixtures under affine transformations of the data
Julyan Arbel, Riccardo Corradin, Bernardo Nipoti
Location-scale Dirichlet process mixtures of Gaussians (DPM-G) have proved extremely useful in dealing with density estimation and clustering problems in a wide range of domains. M…