  We consider uniform moment convergence of lag-window spectral density
estimates for univariate and multivariate stationary processes. Optimal rates
of convergence are obtained under mild and easily verifiable conditions. Our
theory complements earlier results which primarily concern weak or
in-probability convergence.
