ROSSINI, LUCA
ROSSINI, LUCA
Dipartimento di Economia, Management e Metodi Quantitativi
A multivariate dependence analysis for electricity prices, demand and renewable energy sources
2022 F. Durante, A. Gianfreda, F. Ravazzolo, L. Rossini
A note on the posterior inference for the Yule–Simon distribution
2017 F. Leisen, L. Rossini, C. Villa
A Pólya–Gamma sampler for a generalized logistic regression
2021 L. Dalla Valle, F. Leisen, L. Rossini, W. Zhu
Bayesian analysis of immigration in Europe with generalized logistic regression
2020 L. Dalla Valle, F. Leisen, L. Rossini, W. Zhu
Bayesian non-parametric conditional copula estimation of twin data
2018 L. Dalla Valle, F. Leisen, L. Rossini
Bayesian nonparametric sparse VAR models
2019 M. Billio, R. Casarin, L. Rossini
Comparing the Forecasting of Cryptocurrencies by Bayesian Time-Varying Volatility Models
2019 R. Bohte, L. Rossini
Comparing the forecasting performances of linear models for electricity prices with high RES penetration
2020 A. Gianfreda, F. Ravazzolo, L. Rossini
Contributed Discussion [On a Class of Objective Priors from Scoring Rules]
2020 M. Iacopini, F. Ravazzolo, L. Rossini
Discussion on the paper by Cannings and Samworth
2017 R. Casarin, L. Frattarolo, L. Rossini
Discussion on the paper by Caron and Fox
2017 R. Casarin, M. Iacopini, L. Rossini
Hierarchical species sampling models
2020 F. Bassetti, R. Casarin, L. Rossini
Inference in Bayesian Additive Vector Autoregressive Tree Models
2022 F. Huber, L. Rossini
Objective bayesian analysis of the Yule–Simon distribution with applications
2018 F. Leisen, L. Rossini, C. Villa
On a flexible construction of a negative binomial model
2019 F. Leisen, R.H. Mena, F. Palma, L. Rossini
Proper scoring rules for evaluating density forecasts with asymmetric loss functions
2022 M. Iacopini, F. Ravazzolo, L. Rossini