English

Estimation for almost periodic processes

Statistics Theory 2008-06-30 v2 Statistics Theory

Abstract

Processes with almost periodic covariance functions have spectral mass on lines parallel to the diagonal in the two-dimensional spectral plane. Methods have been given for estimation of spectral mass on the lines of spectral concentration if the locations of the lines are known. Here methods for estimating the intercepts of the lines of spectral concentration in the Gaussian case are given under appropriate conditions. The methods determine rates of convergence sufficiently fast as the sample size nn\to\infty so that the spectral estimation on the estimated lines can then proceed effectively. This task involves bounding the maximum of an interesting class of non-Gaussian possibly nonstationary processes.

Keywords

Cite

@article{arxiv.math/0607802,
  title  = {Estimation for almost periodic processes},
  author = {Keh-Shin Lii and Murray Rosenblatt},
  journal= {arXiv preprint arXiv:math/0607802},
  year   = {2008}
}

Comments

Published at http://dx.doi.org/10.1214/009053606000000218 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)