Consider discrete-time linear distributed averaging dynamics, whereby agents in a network start with uncorrelated and unbiased noisy measurements of common underlying parameter (state the world) iteratively update their estimates following non-Bayesian rule. Specifically, let every agent her estimate to convex combination own current those neighbors network. As result this iterative averaging, ...
