ARGIENTO, Raffaele Statistiche
ARGIENTO, Raffaele
Dipartimento di Scienze Economiche
Clustering blood donors via mixtures of product partition models with covariates
2024-01-01 Argiento, Raffaele; Corradin, Riccardo; Guglielmi, Alessandra; Lanzarone, Ettore
Learning Block Structured Graphs in Gaussian Graphical Models
2024-01-01 Colombi, Alessandro; Argiento, Raffaele; Paci, Lucia; Pini, Alessia
Personalized treatment selection via product partition models with covariates
2024-01-01 Pedone, Matteo; Argiento, Raffaele; Stingo, Francesco C.
Bayesian GARCH modeling of functional sports data
2023-01-01 Dolmeta, Patric; Argiento, Raffaele; Montagna, Silvia
Binomial Extended Stochastic Block Model for Brain Networks
2023-01-01 Ghidini, Valentina; Legramanti, Sirio; Argiento, Raffaele
Capture-recapture models with heterogeneous temporary emigration
2023-01-01 Matechou, Eleni; Argiento, Raffaele
Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks
2023-01-01 Ghidini, Valentina; Legramanti, Sirio; Argiento, Raffaele
Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods
2023-01-01 Berloco, Claudia; Argiento, Raffaele; Montagna, Silvia
Seemingly Unrelated Multi-State Processes: A Bayesian Semiparametric Approach
2023-01-01 Cremaschi, Andrea; Argiento, Raffaele; De Iorio, Maria; Shirong, Cai; Chong, Yap Seng; Meaney, Michael; Kee, Michelle
Bias Correction in Clustered Underreported Data
2022-01-01 Lopes de Oliveira, Guilherme; Argiento, Raffaele; Loschi, Rosangela Helena; Martins Assuncao, Renato; Ruggeri, Fabrizio; D’Elia Branco, Marcia
Clustering blood donors via mixtures of product partition models with covariates
2022-10-15 Argiento, Raffaele; Corradin, Riccardo; Guglielmi, Alessandra; Lanzarone, Ettore
Gaussian graphical modeling for spectrometric data analysis
2022-01-01 Codazzi, Laura; Colombi, Alessandro; Gianella, Matteo; Argiento, Raffaele; Paci, Lucia; Pini, Alessia
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models
2022-01-01 Argiento, Raffaele; De Iorio, Maria
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes
2022-01-01 Beraha, Mario; Argiento, Raffaele; Moller, Jesper; Guglielmi, Alessandra
Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis
2021-01-01 Montagna, Silvia; Orani, Vanessa; Argiento, Raffaele
Clustering categorical data via Hamming distance
2021-01-01 Filippi-Mazzola, E.; Argiento, Raffaele; Paci, Lucia
Group-dependent finite mixture model
2021-01-01 Costa Fontichiari, Paola; Giuliani, Miriam; Argiento, Raffaele; Paci, Lucia
Model-based clustering clustering for categorical data via Hamming distance
2021-01-01 Argiento, Raffaele; Filippi-Mazzola, Edoardo; Paci, Lucia
Predictive power of Bayesian CAR models on scale free networks: an application for credit risk
2021-01-01 Berloco, Claudia; Montagna, Silvia; Argiento, Raffaele
Bayesian Mixture Models for Latent Class Analysis
2020-01-01 Argiento, Raffaele; Bodin, Bruno; De Iorio, Maria
| Data di pubblicazione | Titolo | Autore/i | Tipologia | Documento allegato |
|---|---|---|---|---|
| 1-gen-2024 | Clustering blood donors via mixtures of product partition models with covariates | Argiento, Raffaele; Corradin, Riccardo; Guglielmi, Alessandra; Lanzarone, Ettore | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2024 | Learning Block Structured Graphs in Gaussian Graphical Models | Colombi, Alessandro; Argiento, Raffaele; Paci, Lucia; Pini, Alessia | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2024 | Personalized treatment selection via product partition models with covariates | Pedone, Matteo; Argiento, Raffaele; Stingo, Francesco C. | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2023 | Bayesian GARCH modeling of functional sports data | Dolmeta, Patric; Argiento, Raffaele; Montagna, Silvia | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2023 | Binomial Extended Stochastic Block Model for Brain Networks | Ghidini, Valentina; Legramanti, Sirio; Argiento, Raffaele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2023 | Capture-recapture models with heterogeneous temporary emigration | Matechou, Eleni; Argiento, Raffaele | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2023 | Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks | Ghidini, Valentina; Legramanti, Sirio; Argiento, Raffaele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2023 | Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods | Berloco, Claudia; Argiento, Raffaele; Montagna, Silvia | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2023 | Seemingly Unrelated Multi-State Processes: A Bayesian Semiparametric Approach | Cremaschi, Andrea; Argiento, Raffaele; De Iorio, Maria; Shirong, Cai; Chong, Yap Seng; Meaney, Michael; Kee, Michelle | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2022 | Bias Correction in Clustered Underreported Data | Lopes de Oliveira, Guilherme; Argiento, Raffaele; Loschi, Rosangela Helena; Martins Assuncao, Renato; Ruggeri, Fabrizio; D’Elia Branco, Marcia | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 15-ott-2022 | Clustering blood donors via mixtures of product partition models with covariates | Argiento, Raffaele; Corradin, Riccardo; Guglielmi, Alessandra; Lanzarone, Ettore | 1.8 Working Papers::1.8.05 Working paper senza ISSN/ISBN | |
| 1-gen-2022 | Gaussian graphical modeling for spectrometric data analysis | Codazzi, Laura; Colombi, Alessandro; Gianella, Matteo; Argiento, Raffaele; Paci, Lucia; Pini, Alessia | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2022 | Is infinity that far? A Bayesian nonparametric perspective of finite mixture models | Argiento, Raffaele; De Iorio, Maria | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2022 | MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes | Beraha, Mario; Argiento, Raffaele; Moller, Jesper; Guglielmi, Alessandra | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2021 | Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis | Montagna, Silvia; Orani, Vanessa; Argiento, Raffaele | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2021 | Clustering categorical data via Hamming distance | Filippi-Mazzola, E.; Argiento, Raffaele; Paci, Lucia | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2021 | Group-dependent finite mixture model | Costa Fontichiari, Paola; Giuliani, Miriam; Argiento, Raffaele; Paci, Lucia | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2021 | Model-based clustering clustering for categorical data via Hamming distance | Argiento, Raffaele; Filippi-Mazzola, Edoardo; Paci, Lucia | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.02 Abstract in atti di convegno - Conference abstracts | |
| 1-gen-2021 | Predictive power of Bayesian CAR models on scale free networks: an application for credit risk | Berloco, Claudia; Montagna, Silvia; Argiento, Raffaele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2020 | Bayesian Mixture Models for Latent Class Analysis | Argiento, Raffaele; Bodin, Bruno; De Iorio, Maria | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations |