Sfoglia per Autore Iacopini, Matteo
Basics of optimization theory with applications in MATLAB and R
2016 Iacopini, Matteo
Bayesian Tensor Regression Models
2017 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
A discussion on: Sparse graphs using exchangeable random measures
2017 Casarin, Roberto; Iacopini, Matteo; Rossini, Luca
Bayesian Tensor Binary Regression
2018 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
Bayesian Tensor Regression Models
2018 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
Bayesian Markov switching tensor regression for time-varying networks
2018 Billio, Monica; Casarin, Roberto; Iacopini, Matteo
Nonparametric forecasting of multivariate probability density functions
2018 Guégan, Dominque; Iacopini, Matteo
Bayesian dynamic tensor regression
2018 Billio, Monica; Casarin, Roberto; Kaufmann, Sylvia; Iacopini, Matteo
Contributed discussion to Using Stacking to Average Bayesian Predictive Distributions
2018 Stefano, Tonellato; Iacopini, Matteo
A discussion on: On a Class of Objective Priors from Scoring Rules by F. Leisen, C. Villa and S. G. Walker
2020 Iacopini, Matteo; Ravazzolo, F; Rossini, L
Visualizing and comparing distributions with half-disk density strips
2020 Santagiustina, Carlo; Iacopini, Matteo
Multilayer network analysis of oil linkages
2020 Casarin, R; Iacopini, Matteo; Molina, G; ter Horst, E; Espinasa, R; Sucre, C; Rigobon, R
Google search volumes and the financial markets during the COVID-19 outbreak
2021 Costola, M; Iacopini, Matteo; Santagiustina, C
A Matrix-Variate t Model for Networks
2021 Billio, M.; Casarin, R.; Costola, M.; Iacopini, Matteo
On the "mementum" of Meme Stocks
2021 Costola, Michele; Iacopini, Matteo; Santagiustina, Carlo R. M. A.
Filtering the intensity of public concern from social media count data with jumps
2021 Iacopini, Matteo; Santagiustina, Carlo R. M. A.
Matrix-variate Smooth Transition Models for Temporal Networks
2022 Billio, M; Casarin, R; Costola, M; Iacopini, Matteo
Bayesian Dynamic Tensor Regression
2023 Billio, M; Casarin, R; Iacopini, Matteo; Kaufmann, S.
Proper Scoring Rules for Evaluating Density Forecasts with Asymmetric Loss Functions
2023 Iacopini, Matteo; Ravazzolo, F; Rossini, L
Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP
2023 Iacopini, Matteo; Poon, A; Rossini, L; Zhu, D
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