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In this paper, using spectral theory of Hilbertian operators, we study ARMAGaussian processes indexed by graphs. We extend Whittle maximum likelihoodestimation of the parameters for the corresponding spectral density and showtheir asymptotic optimality.

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