Spectral domain diagnostics for testing model proximity and disparity in time series data

Diagnostics for testing the proximity and disparity of a model spectral density to the truth for time series data are formulated by considering a convenient measure of a spectral density’s departure from constancy. The method is illustrated through numerical experiments and several case studies.