Research Groups

MNEMET aims to bring together researchers from three Italian universities. The research groups working on the project are:

University of Trieste:

Roberta Pappadà is an Associate professor of Statistics at the University of Trieste and she is the Principal Investigator of MNEMET. Her research interests lie in Copula-based modelling, Computational Statistics, Classification and clustering, Time series clustering, Machine learning algorithms, Discrimination detection, and Ensemble methods in unsupervised problems. She has published in leading peer-reviewed journals such as Statistics and Computing; Spatial Statistics; Fuzzy Sets and Systems.
Gaetano Carmeci is an Associate professor of Econometrics at the University of Trieste. His research interests are in Bayesian and spatial econometrics; panel cointegration and forecasting of electricity prices. He has published in several journals such as the Journal of Macroeconomics, Journal of Risk and Insurance, Journal of Policy Modeling and Journal of Public Economic Theory.
Giovanni Millo is a tenure-track Assistant professor of Business Statistics at the University of Trieste and previously Researcher at the Research Department of Assicurazioni Generali. His research interests are Panel Data Econometrics; Spatial Econometrics; Computational Econometrics and Statistics; and Insurance Economics. He has published in peer-reviewed journals such as the Journal of Applied Econometrics, Journal of Statistical Software, Journal of Spatial Econometrics and Journal of Risk and Insurance.

Luca Rossini is a tenure-track Assistant professor of Statistics at the University of Milan and a Researcher at Fondazione Eni Enrico Mattei. He is the Co-Principal Investigator and head of the local unit of the MNEMET project. His research interests span Bayesian inference; time series analysis and forecasting techniques; energy economics and novel nonlinear models. He has published in leading peer-reviewed journals such as the Journal of Business and Economic Statistics; Journal of Econometrics; International Journal of Forecasting and Annals of Applied Statistics.
Andrea Bastianin is an Associate professor of Economic Policy at the University of Milan and Senior Researcher at Fondazione Eni Enrico Mattei. His research interests are Time Series Econometrics, Environmental and Energy Economics, Forecasting techniques and Critical raw materials. He has published in peer-reviewed journals such as Energy Economics; Macroeconomic Dynamics; Energy Policy and Economic Modelling.
Giancarlo Manzi is an Associate professor of Statistics at the University of Milan. He has published in different journals such as Regional Studies, PLOS ONE, Quality & Quantity, Journal of the Royal Statistical Society: Series A.

F. Marta L. Di Lascio is an Associate professor of Statistics at Free-University of Bozen-Bolzano, where she is a Member of the Quality Committee and vice director of the Bachelor in Economics and Social Sciences. Her research interests span among Stochastic models with copulas; Clustering techniques for complex dependent data; Statistical methods for high-dimensional spatial, time series and panel data; Statistical applications in environmental science, energy, and finance; Linear and non-linear stochastic processes: definition and characterization. She published in different peer-reviewed journals such as Biometrics, Journal of Banking and Finance, Journal of Classification, Spatial Statistics and Computational Statistics and Data Analysis.