This project concerns the development of novel principled statistical tools for the analysis of complex networks under non-standard experimental setups.

The methodological innovations are achieved with this proposal are as follows:

• Development of multiple, paired, and covariate-dependent graphical models for heterogeneous networks;
• Development of single and multiple graphical models for causal inference based on observational and interventional data;
• Development of graphical models for non-normal and censored random variables.

This projects is developed by the collaborative efforts of four research units based at the University of Florence (UNIFI), Università Cattolica del Sacro Cuore, (UCSC), University of Padova (UNIPD), and University of Palermo (UNIPA).