Locally adaptive estimation of evolutionary wavelet spectra

dc.creatorVan Bellegem, Sébastien
dc.creatorvon Sachs, Rainer
dc.date2008-08-11
dc.date.accessioned2026-07-07T09:55:57Z
dc.date.available2026-07-07T09:55:57Z
dc.descriptionWe 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.
dc.descriptionPublished in at http://dx.doi.org/10.1214/07-AOS524 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0808.1452
dc.identifierhttp://arxiv.org/abs/0808.1452
dc.identifierAnnals of Statistics 2008, Vol. 36, No. 4, 1879-1924
dc.identifierdoi:10.1214/07-AOS524
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/166811
dc.subjectStatistics Theory
dc.subject62M10 (Primary) 60G15, 62G10, 62G05 (Secondary)
dc.titleLocally adaptive estimation of evolutionary wavelet spectra
dc.typetext

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