Learning to signal: Analysis of a micro-level reinforcement model R Argiento, R Pemantle, B Skyrms, S Volkov
Stochastic processes and their applications 119 (2), 373-390, 2009
121 2009 An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data WD Wadsworth, R Argiento, M Guindani, J Galloway-Pena, SA Shelburne, ...
BMC bioinformatics 18, 1-12, 2017
90 2017 Bayesian density estimation and model selection using nonparametric hierarchical mixtures R Argiento, A Guglielmi, A Pievatolo
Computational Statistics & Data Analysis 54 (4), 816-832, 2010
52 2010 Distributed interruptible load shedding and micro-generator dispatching to benefit system operations R Argiento, R Faranda, A Pievatolo, E Tironi
IEEE Transactions on Power Systems 27 (2), 840-848, 2011
41 2011 Is infinity that far? A Bayesian nonparametric perspective of finite mixture models R Argiento, M De Iorio
The Annals of Statistics 50 (5), 2641-2663, 2022
38 2022 Bayesian analysis and prediction of failures in underground trains A Pievatolo, F Ruggeri, R Argiento
Quality and Reliability Engineering International 19 (4), 327-336, 2003
31 2003 A blocked Gibbs sampler for NGG-mixture models via a priori truncation R Argiento, I Bianchini, A Guglielmi
Statistics and Computing 26 (3), 641-661, 2016
27 2016 Hierarchical normalized completely random measures to cluster grouped data R Argiento, A Cremaschi, M Vannucci
Journal of the American Statistical Association, 2019
26 2019 A “density-based” algorithm for cluster analysis using species sampling Gaussian mixture models R Argiento, A Cremaschi, A Guglielmi
Journal of Computational and Graphical Statistics 23 (4), 1126-1142, 2014
26 2014 Posterior sampling from -approximation of normalized completely random measure mixtures R Argiento, I Bianchini, A Guglielmi
23 2016 A Bayesian framework for describing and predicting the stochastic demand of home care patients R Argiento, A Guglielmi, E Lanzarone, I Nawajah
Flexible Services and Manufacturing Journal 28, 254-279, 2016
20 2016 Bias correction in clustered underreported data G Lopes de Oliveira, R Argiento, R Helena Loschi, R Martins Assunção, ...
Bayesian Analysis 17 (1), 95-126, 2022
15 2022 MCMC computations for Bayesian mixture models using repulsive point processes M Beraha, R Argiento, J Møller, A Guglielmi
Journal of Computational and Graphical Statistics 31 (2), 422-435, 2022
14 2022 A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression R Argiento, A Guglielmi, A Pievatolo
Journal of Statistical Planning and Inference 139 (12), 3989-4005, 2009
14 2009 Hierarchical normalized completely random measures for robust graphical modeling A Cremaschi, R Argiento, K Shoemaker, C Peterson, M Vannucci
Bayesian analysis 14 (4), 1271, 2019
12 2019 Bayesian joint modelling of the health profile and demand of home care patients R Argiento, A Guglielmi, E Lanzarone, I Nawajah
IMA Journal of Management Mathematics 28 (4), 531-552, 2017
10 2017 Modeling the association between clusters of SNPs and disease responses R Argiento, A Guglielmi, CK Hsiao, F Ruggeri, C Wang
Nonparametric Bayesian Inference in Biostatistics, 115-134, 2015
10 2015 Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components I Bianchini, R Argiento, F Auricchio, E Lanzarone
Computational Mechanics 56, 533-549, 2015
9 2015 Gaussian graphical modeling for spectrometric data analysis L Codazzi, A Colombi, M Gianella, R Argiento, L Paci, A Pini
Computational statistics & data analysis 174, 107416, 2022
8 2022 Multilevel functional principal component analysis of facade sound insulation data R Argiento, PG Bissiri, A Pievatolo, C Scrosati
Quality and Reliability Engineering International 31 (7), 1239-1253, 2015
7 2015