Marvin Lasserre

Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks

We propose a new framework to learn non-parametric graphical models from continuous observational data. Our method is based on concepts from information theory in order to discover independences and causality between variables: the conditional and multivariate mutual information (such as cite{verny2…