Sfoglia per Autore IACOPINI, MATTEO
Basics of optimization theory with applications in MATLAB and R
2016-01-01 Iacopini, Matteo
Bayesian Tensor Regression Models
2017-01-01 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
Sparse graphs using exchangeable random measures
2017-01-01 Casarin, Roberto; Iacopini, Matteo; Rossini, Luca
Bayesian Tensor Regression Models
2018-01-01 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
Nonparametric forecasting of multivariate probability density functions
2018-01-01 Guégan, Dominque; Iacopini, Matteo
Bayesian Tensor Binary Regression
2018-01-01 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
Contributed discussion to Using Stacking to Average Bayesian Predictive Distributions
2018-01-01 Tonellato, Stefano Federico; Iacopini, Matteo
Bayesian dynamic tensor regression
2018-01-01 Billio, Monica; Casarin, Roberto; Kaufmann, Sylvia; Iacopini, Matteo
Bayesian Markov switching tensor regression for time-varying networks
2018-01-01 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
Visualizing and comparing distributions with half-disk density strips
2020-01-01 Santagiustina, Carlo Romano Marcello Alessandro; Iacopini, Matteo
COVID-19 spreading in financial networks: A semiparametric matrix regression model
2021-01-01 Billio, M.; Casarin, R.; Costola, M.; Iacopini, M.
Filtering the intensity of public concern from social media count data with jumps
2021-01-01 Iacopini, Matteo; Santagiustina, Carlo R. M. A.
A Matrix-Variate t Model for Networks
2021-01-01 Billio, M.; Casarin, R.; Costola, M.; Iacopini, M.
On the" mementum" of Meme Stocks
2021-01-01 Costola, Michele; Iacopini, Matteo; Santagiustina, Carlo R. M. A.
Bayesian Markov-Switching Tensor Regression for Time-Varying Networks
2022-01-01 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
Bayesian Dynamic Tensor Regression
2023-01-01 Billio, M; Casarin, R; Iacopini, M; Kaufmann, S.
COVID-19 spreading in financial networks: A semiparametric matrix regression model
2024-01-01 Billio, M.; Casarin, R.; Costola, M.; Iacopini, M.
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