ARGIENTO, RAFFAELE
ARGIENTO, RAFFAELE
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI - Sede Secondaria Milano
Computational challenges and temporal dependence in Bayesian nonparametric models
2018 Argiento, R; Ruggiero, M
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data
2017 Wadsworth, Wd; Argiento, R; Guindani, M; Gallowaypena, J; Shelburne, Sa; Vannucci, M
Bayesian joint modelling of the health profile and demand of home care patients
2017 Argiento, R; Guglielmi, A; Lanzarone, E; Nawajah, I
Bayesian nonparametric clustering and association studies for candidate SNP observations
2017 Wang, C; Ruggeri, F; Hsiao, Ck; Argiento, R
A Bayesian framework for describing and predicting the stochastic demand of home care patients
2016 Argiento, R; Guglielmi, A; Lanzarone, E; Nawajah, I
A blocked Gibbs sampler for NGG-mixture models via a priori truncation
2016 Argiento, R; Bianchini, I; Guglielmi, A
Posterior sampling from epsilon-approximation of normalized completely random measure mixtures
2016 Argiento, R; Bianchini, I; Guglielmi, A
Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components
2015 Bianchini, I; Argiento, R; Auricchio, F; Lanzarone, E
Multilevel functional principal component analysis of façade sound insulation data
2015 Argiento, R; G Bissiri, P; Pievatolo, A; Scrosati, C
A "Density-Based" Algorithm for Cluster Analysis Using Species Sampling Gaussian Mixture Models
2014 Argiento, R; Cremaschi, A; Guglielmi, A
Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times
2014 Argiento, R; Guglielmi, A; Pievatolo, A
A semiparametric Bayesian generalized linear mixed model for the reliability of Kevlar fibers
2013 Argiento, R; Guglielmi, A; Soriano, J
Distributed Interruptible Load Shedding and Micro-Generator Dispatching to Benefit System Operations
2012 Argiento, R; Faranda, R; Pievatolo, A; Tironi, E
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
2010 Argiento, R; Guglielmi, A; Pievatolo, A
A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression
2009 Argiento, R; Guglielmi, A; Pievatolo, A
Learning to signal: analysis of a micro-level reinforcement model
2009 Argiento, R; Pemantle, R; Skyrms, B; Volkov, S
Bayesian Analysis and Prediction of Failures in Undergraund Trains
2003 Argiento, R; Pievatolo, A; Ruggeri, F