Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models. - Daniela Golinelli; David Madigan; Guido Consonni (AISTATS, 1999)

Mean-field variational approximate Bayesian inference for latent variable models. - Guido Consonni; Jean-Michel Marin (Comput. Stat. Data Anal., 2007)

Parametrizations and reference priors for multinomial decomposable graphical models. - Guido Consonni; Hélène Massam (J. Multivar. Anal., 2012)

Structural learning of contemporaneous dependencies in graphical VAR models. - Lucia Paci; Guido Consonni (Comput. Stat. Data Anal., 2020)