5 citations · 15 across the 16 of their papers we have counts for
4 papers · 1 filter
Model-based clustering of categorical data based on the Hamming distance
Raffaele Argiento, Edoardo Filippi-Mazzola, Lucia Paci
A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability ma…
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…
Personalized Treatment Selection via Product Partition Models with Covariates
Matteo Pedone, Raffaele Argiento, Francesco C. Stingo
Precision medicine is an approach for disease treatment that defines treatment strategies based on the individual characteristics of the patients. Motivated by an open problem in c…
Learning block structured graphs in Gaussian graphical models
Alessandro Colombi, Raffaele Argiento, Lucia Paci +1
Within the framework of Gaussian graphical models, a prior distribution for the underlying graph is introduced to induce a block structure in the adjacency matrix of the graph and…