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We prove that for a stationary Gaussian process with spectral density (1) the number of sufficient statistics is $(p + 1)(p + 2)/ 2$. A simple example shows that in the general case the number of sufficient statistics increases with the number of observations.

On the Sufficient Statistics for Stationary Gaussian Random Processes