research
∙
10/15/2022
Clustering blood donors via mixtures of product partition models with covariates
Motivated by the problem of accurately predicting gap times between succ...
share
research
∙
12/20/2021
Bayesian nonparametric model based clustering with intractable distributions: an ABC approach
Bayesian nonparametric mixture models offer a rich framework for model b...
research
∙
08/26/2021
Contaminated Gibbs-type priors
Gibbs-type priors are widely used as key components in several Bayesian ...
research
∙
03/16/2021
Optimal stratification of survival data via Bayesian nonparametric mixtures
The stratified proportional hazards model represents a simple solution t...
research
∙
06/19/2019
Importance conditional sampling for Bayesian nonparametric mixtures
Nonparametric mixture models based on the Pitman-Yor process represent a...
research
∙
09/07/2018
