ARGIENTO, Raffaele Statistiche

ARGIENTO, Raffaele  

Dipartimento di Scienze Economiche  

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Risultati 1 - 20 di 59 (tempo di esecuzione: 0.03 secondi).
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 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 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 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 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-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 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-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
1-gen-2022 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-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
1-gen-2020 Functional Graphical Model for Spectrometric Data Analysis Codazzi, Laura; Colombi, Alessandro; Gianella, Matteo; Argiento, Raffaele; Paci, Lucia; Pini, Alessia 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations