Sufficient Statistics of Stationary Gaussian Processes

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.