Time-to-event data are often recorded on a discrete scale with multiple,...
Model-based clustering of moderate or large dimensional data is notoriou...
The study of almost surely discrete random probability measures is an ac...
Motivated by the problem of accurately predicting gap times between
succ...
We propose a statistical emulator for a climate-economy deterministic
in...
Spatio-temporal areal data can be seen as a collection of time series wh...
We describe BayesMix, a C++ library for MCMC posterior simulation for ge...
Overweight and obesity in adults are known to be associated with risks o...
The aim of this work is the comparison of the performance of the three
p...
Repulsive mixture models have recently gained popularity for Bayesian cl...
We consider the problem of spatially dependent areal data, where for eac...
Assessing homogeneity of distributions is an old problem that has receiv...
In this paper we consider the problem of dynamic clustering, where clust...