Gaussian stationary processes over graphs, general frame and maximum likelihood identification

In this paper, we give a general construction of stationary Gaussian processes indexed on graphs. This construction relies on spectral theory of Hilbertian operators defined on a graph. We then extend natural maximum likelihood estimators of the parameters of the corresponding spectral density and provide their asymptotic behaviour.