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Adaptive covariance estimation of locally stationary processes Export

The Annals of Statistics, Vol. 26, No. 1. (February 1998), pp. 1-47.

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1998 adaptive_covariance_estimation approximate_inference local stationary_processes tesis

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It is shown that the covariance operator of a locally stationary process has approximate eigenvectors that are local cosine functions. We model locally stationary processes with pseudo-differential operators that are time-varying convolutions. An adaptive covariance estimation is calculated by searching first for a "best" local cosine basis which approximates the covariance by a band or a diagonal matrix. The estimation is obtained from regularized versions of the diagonal coefficients in the best basis.


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