Raffaele ARGIENTO

Professore Ordinario

Settore Scientifico Disciplinare: STATISTICA (SECS-S/01)

Biografia

I'm Full Professor of Statistics at the Department of Economics -- Università degli Studi di Bergamo.

I work in the areas of Bayesian Statistics, both parametric and nonparametric. My methodological work focuses mainly on Bayesian mixture models and associated computational strategies

Other things about me

I'm member of the Programme Committee of the PhD in Economics, Statistics and Data Science Università degli Studi di Milano Bicocca.
My home town is Sessa Aurunca a small and beautiful city on the north of Campania region.

Contatti

Telefono: +39 0352022516

E-mail:

raffaele.argiento@unibg.it

Sede di lavoro:

CANIANA

Stanza 204

Insegnamenti

Anno accademico: 2022/2023

APPLIED STATISTICAL MODELLING
Anno di corso: 1 - CFU 9 crediti - Corso di laurea: ECONOMICS AND DATA ANALYSIS
INFERENTIAL STATISTICS
Anno di corso: 2 - CFU 6 crediti - Corso di laurea: ECONOMIA
STATISTICA I
Anno di corso: 1 - CFU 6 crediti - Corso di laurea: ECONOMIA
STATISTICS AND PROBABILITY FOR ECONOMICS & FINANCE
Anno di corso: 1 - CFU 9 crediti - Corso di laurea: ECONOMICS AND FINANCE

Anno accademico: 2021/2022

PROBABILITY AND STATISTICS FOR BUSINESS AND FINANCE (ADVANCED)
Anno di corso: 1 - CFU 9 crediti - Corso di laurea: MANAGEMENT, MARKETING AND FINANCE
STATISTICA
Anno di corso: 2 - CFU 9 crediti - Corso di laurea: ECONOMIA AZIENDALE

Pubblicazioni

Berloco Claudia, Argiento Raffaele, Montagna Silvia; (2022) Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods, INTERNATIONAL JOURNAL OF FORECASTING, pp. 1 - 13, https://doi.org/10.1016/j.ijforecast.2022.05.003, Dettaglio
Cremaschi Andrea, Argiento Raffaele, De Iorio Maria, Shirong Cai, Chong Yap Seng, Meaney Michael, Kee Michelle; (2022) Seemingly Unrelated Multi-State Processes: A Bayesian Semiparametric Approach, BAYESIAN ANALYSIS, pp. 1 - 23, https://doi.org/10.1214/22-BA1326, Dettaglio
Matechou Eleni, Argiento Raffaele; (2022) Capture-recapture models with heterogeneous temporary emigration, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, pp. 1 - 14, https://doi.org/10.1080/01621459.2022.2123332, Dettaglio
Dolmeta Patric, Argiento Raffaele, Montagna Silvia; (2022) Bayesian GARCH modeling of functional sports data, STATISTICAL METHODS & APPLICATIONS, pp. 1 - 23, https://doi.org/10.1007/s10260-022-00656-z, Dettaglio
Lopes de Oliveira Guilherme, Argiento Raffaele, Loschi Rosangela Helena, Martins Assuncao Renato, Ruggeri Fabrizio, D’Elia Branco Marcia; (2022) Bias Correction in Clustered Underreported Data, BAYESIAN ANALYSIS, pp. 95 - 126, https://doi.org/10.1214/20-BA1244, Dettaglio
Beraha Mario, Argiento Raffaele, Moller Jesper, Guglielmi Alessandra; (2022) MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, pp. 422 - 435, https://doi.org/10.1080/10618600.2021.2000424, Dettaglio
Argiento Raffaele, De Iorio Maria; (2022) Is infinity that far? A Bayesian nonparametric perspective of finite mixture models, ANNALS OF STATISTICS, pp. 2641 - 2663, https://doi.org/10.1214/22-AOS2201, Dettaglio
Codazzi Laura, Colombi Alessandro, Gianella Matteo, Argiento Raffaele, Paci Lucia, Pini Alessia; (2022) Gaussian graphical modeling for spectrometric data analysis, COMPUTATIONAL STATISTICS & DATA ANALYSIS, pp. 1 - 14, https://doi.org/10.1016/j.csda.2021.107416, Dettaglio
Argiento Raffaele, Filippi-Mazzola Edoardo, Paci Lucia; (2021) Model-based clustering clustering for categorical data via Hamming distance, CLADAG 2021: Book of abstracts and short papers, 3th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021, pp. 31 - 31, , Dettaglio
Berloco Claudia, Montagna Silvia, Argiento Raffaele; (2021) Predictive power of Bayesian CAR models on scale free networks: an application for credit risk, CLADAG 2021: Book of abstracts and short papers, 3th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021, pp. 264 - 267, , Dettaglio
Costa Fontichiari Paola, Giuliani Miriam, Argiento Raffaele, Paci Lucia; (2021) Group-dependent finite mixture model, CLADAG 2021: Book of abstracts and short papers, 3th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021, pp. 304 - 307, , Dettaglio
Filippi-Mazzola E., Argiento R., Paci L.; (2021) Clustering categorical data via Hamming distance, Book of short papers SIS 2021, pp. 752 - 757, , Dettaglio
Montagna Silvia, Orani Vanessa, Argiento Raffaele; (2021) Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis, STATISTICAL METHODS & APPLICATIONS, pp. 573 - 604, https://doi.org/10.1007/s10260-020-00535-5, Dettaglio
Argiento Raffaele, Bodin Bruno, De Iorio Maria; (2020) Bayesian Mixture Models for Latent Class Analysis, Book of short papers SIS 2020, pp. 429 - 434, , Dettaglio
Codazzi Laura, Colombi Alessandro, Gianella Matteo, Argiento Raffaele, Paci Lucia, Pini Alessia; (2020) Functional Graphical Model for Spectrometric Data Analysis, Book of short papers SIS 2020, pp. 852 - 856, , Dettaglio

Menu top

Anno accademico: 2022/2023

Anno accademico: 2021/2022

Orario ricevimento

Form di ricerca

Form di ricerca

Raffaele ARGIENTO

Anno accademico: 2022/2023

Anno accademico: 2021/2022

Orario ricevimento