Bayesian density estimation and model selection using nonparametric hierarchical mixtures. - Raffaele Argiento; Alessandra Guglielmi; Antonio Pievatolo (Comput. Stat. Data Anal., 2010)

Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach. - Alessandra Guglielmi; Francesca Ieva; Anna Maria Paganoni; Fabrizio Ruggeri 001 (Statistical Models for Data Analysis, 2013)

A blocked Gibbs sampler for NGG-mixture models via a priori truncation. - Raffaele Argiento; Ilaria Bianchini; Alessandra Guglielmi (Stat. Comput., 2016)

A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction. - Alessandra Guglielmi; Francesca Ieva; Anna Maria Paganoni; Fernando A. Quintana (Adv. Data Anal. Classif., 2018)

MALIBOO: When Machine Learning meets Bayesian Optimization. - Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (SmartCloud, 2022)

MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes. - Mario Beraha; Raffaele Argiento; Jesper Møller; Alessandra Guglielmi (J. Comput. Graph. Stat., 2022)

d-MALIBOO: a Bayesian Optimization framework for dealing with Discrete Variables. - Roberto Sala; Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (MASCOTS, 2024)

Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems. - Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi; Roberto Rocco; Gianluca Palermo (IEEE Trans. Cloud Comput., 2024)

BayesMix: Bayesian Mixture Models in C++. - Mario Beraha; Bruno Guindani; Matteo Gianella; Alessandra Guglielmi (J. Stat. Softw., 2025)

Discrete Bayesian Optimization via Machine Learning. - Roberto Sala; Bruno Guindani; Danilo Ardagna; Alessandra Guglielmi (Perform. Evaluation, 2025)