On sparse high-dimensional graphical model learning for dependent time series

•Graphical models are a useful tool for analyzing multivariate data.•Learning graphical models of Gaussian random vectors has been extensively studied.•We discuss approaches for learning graphical models of dependent time series.•We provide estimation algorithm, theoretical analysis, and experimental results.