Research topics

The group was formed recently (2021) and is made of members of the Mathematics Department and of the Department of Economics and Management at the university of Trento, besides PhD students and postdocs. The group's interest is in the study of theoretical aspects of mathematical statistics and their applications in the field of data science and machine learning/artificial intelligence. In particular, the group is active in the field of modern inferential approaches for complex and high dimensional data, taking inspiration from and proposing innovative solutions to, real problems in applied fields such as environment, finance and genomics. The group has an international reputation in robust statistics, computational statistics, penalized inference, graphical models, network science, entropy-based distributional approaches and statistical data depth.

Staff

Web site: datascience.maths.unitn.it