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Estimation of a nonparametric regression spectrum for multivariate time series

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Author Info
Jan Beran () (University of Konstanz)
Mark A. Heiler
Abstract

Estimation of a nonparametric regression spectrum based on the periodogram is considered. Neither trend estimation nor smoothing of the periodogram are required. Alternatively, for cases where spectral estimation of phase shifts fails and the shift does not depend on frequency, a time domain estimator of the lag-shift is defined. Asymptotic properties of the frequency and time domain estimators are derived. Simulations and a data example illustrate the methods.

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File URL: http://cofe.uni-konstanz.de/Papers/dp07_12.pdf
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Publisher Info
Paper provided by Center of Finance and Econometrics, University of Konstanz in its series CoFE Discussion Paper with number 07-12.

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Length: 31 pages
Date of creation: 01 Dec 2007
Date of revision:
Handle: RePEc:knz:cofedp:0712

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Related research
Keywords: Periodogram; cross spectrum; regression spectrum; phase; wavelets.;

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  1. Ori Rosen & David S. Stoffer, 2007. "Automatic estimation of multivariate spectra via smoothing splines," Biometrika, Oxford University Press for Biometrika Trust, vol. 94(2), pages 335-345. [Downloadable!] (restricted)
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This page was last updated on 2009-11-26.


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