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ARGIENTO, RAFFAELE

ARGIENTO, RAFFAELE  

Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI - Sede Secondaria Milano  

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Titolo Data di pubblicazione Autore(i) File
Computational challenges and temporal dependence in Bayesian nonparametric models 1-gen-2018 R. Argiento;M. Ruggiero
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data 1-gen-2017 W.D. Wadsworth; R. Argiento; M. Guindani; J. GallowayPena; S.A. Shelburne;M. Vannucci
Bayesian joint modelling of the health profile and demand of home care patients 1-gen-2017 R. Argiento; A. Guglielmi; E. Lanzarone;I. Nawajah
Bayesian nonparametric clustering and association studies for candidate SNP observations 1-gen-2017 Wang, C; Ruggeri, F; Hsiao, Ck; Argiento, R
A Bayesian framework for describing and predicting the stochastic demand of home care patients 1-gen-2016 Argiento, R; Guglielmi, A; Lanzarone, E; Nawajah, I
A blocked Gibbs sampler for NGG-mixture models via a priori truncation 1-gen-2016 R. Argiento; I. Bianchini;A. Guglielmi
Posterior sampling from epsilon-approximation of normalized completely random measure mixtures 1-gen-2016 R. Argiento; I. Bianchini;A. Guglielmi
Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components 1-gen-2015 Bianchini, I; Argiento, R; Auricchio, F; Lanzarone, E
Multilevel functional principal component analysis of façade sound insulation data 1-gen-2015 R. Argiento; P. G. Bissiri; A. Pievatolo;C. Scrosati
A "Density-Based" Algorithm for Cluster Analysis Using Species Sampling Gaussian Mixture Models 1-gen-2014 Argiento, R; Cremaschi, A; Guglielmi, A
Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times 1-gen-2014 R. Argiento; A. Guglielmi;A. Pievatolo
A semiparametric Bayesian generalized linear mixed model for the reliability of Kevlar fibers 1-gen-2013 Argiento, R; Guglielmi, A; Soriano, J
Distributed Interruptible Load Shedding and Micro-Generator Dispatching to Benefit System Operations 1-gen-2012 R. Argiento; R. Faranda; A. Pievatolo;E. Tironi
Bayesian density estimation and model selection using nonparametric hierarchical mixtures 1-gen-2010 R. Argiento; A. Guglielmi;A. Pievatolo
A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression 1-gen-2009 R. Argiento; A. Guglielmi;A. Pievatolo
Learning to signal: analysis of a micro-level reinforcement model 1-gen-2009 Argiento, R; Pemantle, R; Skyrms, B; Volkov, S
Bayesian Analysis and Prediction of Failures in Undergraund Trains 1-gen-2003 Argiento, R; Pievatolo, A; Ruggeri, F