The Annals of Statistics
- Ann. Statist.
- Volume 36, Number 4 (2008), 1879-1924.
Locally adaptive estimation of evolutionary wavelet spectra
We introduce a wavelet-based model of local stationarity. This model enlarges the class of locally stationary wavelet processes and contains processes whose spectral density function may change very suddenly in time. A notion of time-varying wavelet spectrum is uniquely defined as a wavelet-type transform of the autocovariance function with respect to so-called autocorrelation wavelets. This leads to a natural representation of the autocovariance which is localized on scales. We propose a pointwise adaptive estimator of the time-varying spectrum. The behavior of the estimator studied in homogeneous and inhomogeneous regions of the wavelet spectrum.
Ann. Statist. Volume 36, Number 4 (2008), 1879-1924.
First available in Project Euclid: 16 July 2008
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Van Bellegem, Sébastien; von Sachs, Rainer. Locally adaptive estimation of evolutionary wavelet spectra. Ann. Statist. 36 (2008), no. 4, 1879--1924. doi:10.1214/07-AOS524. https://projecteuclid.org/euclid.aos/1216237303