On Wigner-Ville Spectra and the Uniqueness of Time-Varying Copula-Based Spectral Densities

Author:

Birr Stefan1,Dette Holger1ORCID,Hallin Marc2,Kley Tobias3,Volgushev Stanislav4

Affiliation:

1. Department of Mathematics; Ruhr-Universität Bochum; Bochum Germany

2. European Centre for Advanced Research in Economics and Statistics; Université libre de Bruxelles; Brussels Belgium

3. Department of Statistics; London School of Economics; London UK

4. Statistical Sciences; University of Toronto; Toronto Canada

Publisher

Wiley

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference28 articles.

1. Quantile spectral analysis for locally stationary time series;Birr;Journal of the Royal Statistical Society: Series B,2017

2. The Wigner distribution: a tool for time frequency signal analysis;Claasen;Philips Journal of Research,1980

3. On the Kullback-Leibler information divergence of locally stationary processes;Dahlhaus;Stochastic Processes and their Applications,1996

4. Fitting time series models to nonstationary processes;Dahlhaus;Annals of Statistics,1997

5. Measures of serial extremal dependence and their estimation;Davis;Stochastic Processes and their Applications,2013

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Graphical models for nonstationary time series;The Annals of Statistics;2023-08-01

2. Effect of Spectral Estimation on Ultrasonic Backscatter Parameters in Measurements of Cancellous Bones;IEEE Access;2019

3. Quantile spectral analysis for locally stationary time series;Journal of the Royal Statistical Society: Series B (Statistical Methodology);2017-03-27

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