Forecasting Time Series with VARMA Recursions on Graphs.

Graph-based techniques emerged as a choice to deal with the dimensionality issues in modeling multivariate time series. However, there is yet no complete understanding of how the underlying structure could be exploited to ease this task. This paper provides contributions in this direction by considering the forecasting of a process evolving over a graph. We make use of the (approximate) time-verte...