Large and moderate deviations for infinite-dimensional autoregressive processes

We consider large and moderate deviations for the empirical mean and covariance of hilbertian autoregressive processes. As an application we obtain moderate deviations principles for the eigenvalues and associated projectors of the empirical covariance.Deviations principles Autoregressive hilbertian processes Covariance operators Functional principal component analysis