2 citations · 5 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
Gaussian graphical modeling for spectrometric data analysis
Laura Codazzi, Alessandro Colombi, Matteo Gianella +3
Motivated by the analysis of spectrometric data, we introduce a Gaussian graphical model for learning the dependence structure among frequency bands of the infrared absorbance spec…
Bayesian GARCH Modeling of Functional Sports Data
Patric Dolmeta, Raffaele Argiento, Silvia Montagna
The use of statistical methods in sport analytics has gained a rapidly growing interest over the last decade, and nowadays is common practice. In particular, the interest in unders…
MCMC computations for Bayesian mixture models using repulsive point processes
Mario Beraha, Raffaele Argiento, Jesper Møller +1
Repulsive mixture models have recently gained popularity for Bayesian cluster detection. Compared to more traditional mixture models, repulsive mixture models produce a smaller num…
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models
Raffaele Argiento, Maria De Iorio
Mixture models are one of the most widely used statistical tools when dealing with data from heterogeneous populations. This paper considers the long-standing debate over finite mi…