On probability measure generated by spectral density estimate
Pavle Mladenović
Abstract
We study the periodogram based estimate of spectral density
of a strictly stationary random sequence
and consider this estimate as a random function
on the whole domain of frequency.
We renormalize the scale in this domain
and investigate the probability measure generated
by obtained process in the space of continuous functions.
Keywords: Stationary time series, spectral density,
periodogram based estimate, cumulant spectral densities,
weak convergence.