Sparse Inference in functional conditional Gaussian Graphical Models under Partial Separability

Abstract

In recent years, functional data has become a commonly encountered data type. In this paper, we contribute to the literature on functional graphical modelling by extending the notion of conditional Gaussian graphical and proposing a double penalized estimator by which to recover the edge-set of the corresponding graph.