Wiener Filter on Linear Dynamics Graphs is local

We have shown that in a linear dynamic graph, where nodes represent stochastic processes and links represent LTI channels that model the influence of a node on another node, the Wiener filter and other filters are local. This insight can be used to reconstruct the topology of a network of stochastic processes connected via dynamical links. These results have interesting connections to machine learning and theory of causations.