  We consider asymptotic problems in spectral analysis of stationary causal
processes. Limiting distributions of periodograms and smoothed periodogram
spectral density estimates are obtained and applications to the spectral domain
bootstrap are given. Instead of the commonly used strong mixing conditions, in
our asymptotic spectral theory we impose conditions only involving
(conditional) moments, which are easily verifiable for a variety of nonlinear
time series.
