Moderate deviations for quadratic forms in Gaussian stationary processes

  • Authors:
  • Yoshihide Kakizawa

  • Affiliations:
  • Faculty of Economics, Hokkaido University, Nishi 7, Kita 9, Kita-ku, Sapporo 060-0809, Japan

  • Venue:
  • Journal of Multivariate Analysis
  • Year:
  • 2007

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Abstract

Moderate deviations limit theorem is proved for quadratic forms in zero-mean Gaussian stationary processes. Two particular cases are the cumulative periodogram and the kernel spectral density estimator. We also derive the exponential decay of moderate deviation probabilities of goodness-of-fit tests for the spectral density and then discuss intermediate asymptotic efficiencies of tests.