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

Multilevel Functional Principal Component Analysis of Façade Sound Insulation Data. - Raffaele Argiento; Pier Giovanni Bissiri; Antonio Pievatolo; Chiara Scrosati (Qual. Reliab. Eng. Int., 2015)

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

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. - W. Duncan Wadsworth; Raffaele Argiento; Michele Guindani; Jessica Galloway-Pena; Samuel A. Shelburne; Marina Vannucci (BMC Bioinform., 2017)

Bayesian nonparametric clustering and association studies for candidate SNP observations. - Charlotte Wang; Fabrizio Ruggeri 001; Chuhsing Kate Hsiao; Raffaele Argiento (Int. J. Approx. Reason., 2017)

Computational challenges and temporal dependence in Bayesian nonparametric models. - Raffaele Argiento; Matteo Ruggiero (Stat. Methods Appl., 2018)

Gaussian graphical modeling for spectrometric data analysis. - Laura Codazzi; Alessandro Colombi; Matteo Gianella; Raffaele Argiento; Lucia Paci; Alessia Pini (Comput. Stat. Data Anal., 2022)

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

Learning Block Structured Graphs in Gaussian Graphical Models. - Alessandro Colombi; Raffaele Argiento; Lucia Paci; Alessia Pini (J. Comput. Graph. Stat., 2024)