A Bayesian Approach to Sparse plus Low rank Network Identification

This work addresses the problem of network identification for researchers in time series analysis, but it appears incremental as it builds on existing sparse and low rank modeling concepts.

The authors tackled the problem of modeling multivariate time series with parsimonious dynamical models, proposing a Gaussian regression approach to identify sparse plus low rank models, but no concrete results or numbers were provided.