Graphical Models for Categorical Data SemStat Elements Series

For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.

Alberto Roverato is Professor of Statistics at Università di Bologna.