Argiento, Raffaele
Argiento, Raffaele
Learning Block Structured Graphs in Gaussian Graphical Models
2023 Colombi, A.; Argiento, Raffaele; Paci, Lucia; Pini, Alessia
Gaussian graphical modeling for spectrometric data analysis
2022 Codazzi, L.; Colombi, A.; Gianella, M.; Argiento, Raffaele; Paci, Lucia; Pini, Alessia
Clustering categorical data via Hamming distance
2021 Filippi-Mazzola, Edoardo; Argiento, Raffaele; Paci, Lucia
Group-dependent finite mixture model
2021 Costa Fontichiari, P.; Giuliani, M.; Argiento, Raffaele; Paci, Lucia
Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis
2020 Montagna, Silvia; Orani, Vanessa; Argiento, Raffaele
Bayesian Mixture Models for Latent Class Analysis
2020 Argiento, Raffaele; Bodin, Bruno; De Iorio, Maria
Bias Correction in Clustered Underreported Data
2020 Lopes de Oliveira, Guilherme; Argiento, Raffaele; Helena Loschi, Rosangela; Martins Assuncao, Renato; Ruggeri, Fabrizio; D’Elia Branco, Marcia
Functional graphical model for spectrometric data analysis
2020 Codazzi, Laura; Colombi, Alessandro; Gianella, Matteo; Argiento, Raffaele; Paci, Lucia; Pini, Alessia
Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling
2019 Cremaschi, Andrea; Argiento, Raffaele; Shoemaker, Katherine; Peterson, Christine; Vannucci, Marina
Hierarchical Normalized Completely Random Measures to Cluster Grouped Data
2019 Argiento, Raffaele; Cremaschi, A.; Vannucci, M.
Bayesian nonparametric covariate driven clustering Un modello bayesiano nonparametrico per clustering in presenza di covariate
2018 Argiento, Raffaele; Ilaria, Bianchini; Alessandra, Guglielmi; Ettore, Lanzarone
Computational challenges and temporal dependence in Bayesian nonparametric models
2018 Argiento, Raffaele; Ruggiero, Matteo
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data
2017 Wadsworth, W. D.; Argiento, Raffaele; Guindani, M.; Galloway Pena, J.; Shelbourne, S. A.; Vannucci, M.
Bayesian joint modelling of the health profile and demand of home care patients
2017 Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore; Nawajah, Inad
Bayesian nonparametric clustering and association studies for candidate SNP observations
2017 Wang, C.; Ruggeri, F.; Hsiao, C. K.; Argiento, Raffaele
A Bayesian framework for describing and predicting the stochastic demand of home care patients
2016 Argiento, Raffaele; Guglielmi, A.; Lanzarone, E.; Nawajah, I.
A blocked Gibbs sampler for NGG-mixture models via a priori truncation
2016 Argiento, Raffaele; Bianchini, I.; Guglielmi, A.
Posterior sampling from ε-approximation of normalized completely random measure mixtures
2016 Argiento, Raffaele; Bianchini, I.; Guglielmi, A.
Wiley StatsRef: Statistics Reference
2016 Argiento, Raffaele
Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components
2015 Bianchini, I; Argiento, Raffaele; Auricchio, F; Lanzarone, E
| Data di pubblicazione | Titolo | Autore(i) | File |
|---|---|---|---|
| 1-gen-2023 | Learning Block Structured Graphs in Gaussian Graphical Models | Colombi, A.; Argiento, Raffaele; Paci, Lucia; Pini, Alessia | |
| 1-gen-2022 | Gaussian graphical modeling for spectrometric data analysis | Codazzi, L.; Colombi, A.; Gianella, M.; Argiento, Raffaele; Paci, Lucia; Pini, Alessia | |
| 1-gen-2021 | Clustering categorical data via Hamming distance | Filippi-Mazzola, Edoardo; Argiento, Raffaele; Paci, Lucia | |
| 1-gen-2021 | Group-dependent finite mixture model | Costa Fontichiari, P.; Giuliani, M.; Argiento, Raffaele; Paci, Lucia | |
| 1-gen-2020 | Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis | Montagna, Silvia; Orani, Vanessa; Argiento, Raffaele | |
| 1-gen-2020 | Bayesian Mixture Models for Latent Class Analysis | Argiento, Raffaele; Bodin, Bruno; De Iorio, Maria | |
| 1-gen-2020 | Bias Correction in Clustered Underreported Data | Lopes de Oliveira, Guilherme; Argiento, Raffaele; Helena Loschi, Rosangela; Martins Assuncao, Renato; Ruggeri, Fabrizio; D’Elia Branco, Marcia | |
| 1-gen-2020 | Functional graphical model for spectrometric data analysis | Codazzi, Laura; Colombi, Alessandro; Gianella, Matteo; Argiento, Raffaele; Paci, Lucia; Pini, Alessia | |
| 1-gen-2019 | Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling | Cremaschi, Andrea; Argiento, Raffaele; Shoemaker, Katherine; Peterson, Christine; Vannucci, Marina | |
| 1-gen-2019 | Hierarchical Normalized Completely Random Measures to Cluster Grouped Data | Argiento, Raffaele; Cremaschi, A.; Vannucci, M. | |
| 1-gen-2018 | Bayesian nonparametric covariate driven clustering Un modello bayesiano nonparametrico per clustering in presenza di covariate | Argiento, Raffaele; Ilaria, Bianchini; Alessandra, Guglielmi; Ettore, Lanzarone | |
| 1-gen-2018 | Computational challenges and temporal dependence in Bayesian nonparametric models | Argiento, Raffaele; Ruggiero, Matteo | |
| 1-gen-2017 | An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data | Wadsworth, W. D.; Argiento, Raffaele; Guindani, M.; Galloway Pena, J.; Shelbourne, S. A.; Vannucci, M. | |
| 1-gen-2017 | Bayesian joint modelling of the health profile and demand of home care patients | Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore; Nawajah, Inad | |
| 1-gen-2017 | Bayesian nonparametric clustering and association studies for candidate SNP observations | Wang, C.; Ruggeri, F.; Hsiao, C. K.; Argiento, Raffaele | |
| 1-gen-2016 | A Bayesian framework for describing and predicting the stochastic demand of home care patients | Argiento, Raffaele; Guglielmi, A.; Lanzarone, E.; Nawajah, I. | |
| 1-gen-2016 | A blocked Gibbs sampler for NGG-mixture models via a priori truncation | Argiento, Raffaele; Bianchini, I.; Guglielmi, A. | |
| 1-gen-2016 | Posterior sampling from ε-approximation of normalized completely random measure mixtures | Argiento, Raffaele; Bianchini, I.; Guglielmi, A. | |
| 1-gen-2016 | Wiley StatsRef: Statistics Reference | Argiento, Raffaele | |
| 1-gen-2015 | Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components | Bianchini, I; Argiento, Raffaele; Auricchio, F; Lanzarone, E |