Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Of copulas, quantiles, ranks and spectra: an \(L_{1}\)-approach to spectral analysis - MaRDI portal

Of copulas, quantiles, ranks and spectra: an \(L_{1}\)-approach to spectral analysis

From MaRDI portal
Publication:2348726

DOI10.3150/13-BEJ587zbMath1337.62286arXiv1111.7205OpenAlexW1591244523MaRDI QIDQ2348726

Stanislav Volgushev, Marc Hallin, Tobias Kley, Dette, Holger

Publication date: 15 June 2015

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1111.7205




Related Items (22)

Quantile spectral processes: asymptotic analysis and inferenceThe cross-quantilogram: measuring quantile dependence and testing directional predictability between time seriesA semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural networkAutomatic estimation of spatial spectra via smoothing splinesQUANTILE CORRELATIONS: UNCOVERING TEMPORAL DEPENDENCIES IN FINANCIAL TIME SERIESM-periodogram for the analysis of long-range-dependent time seriesClustering of time series using quantile autocovariancesStatistical inference for quantiles in the frequency domainDiscriminant analysis based on binary time seriesFinding our way in the dark: approximate MCMC for approximate Bayesian methodsA copula spectral test for pairwise time reversibilityQUANTILOGRAMS UNDER STRONG DEPENDENCEFourier Analysis of Serial Dependence MeasuresAn Updated Literature Review of Distance Correlation and Its Applications to Time SeriesBayesian copula spectral analysis for stationary time seriesModel assessment for time series dynamics using copula spectral densities: a graphical toolQUANTILE PERIODOGRAM AND TIME‐DEPENDENT VARIANCEComposite Quantile Periodogram for Spectral AnalysisRobust fuzzy clustering based on quantile autocovariancesPenalised quantile periodogram for spectral estimationQuantile-based fuzzy \(C\)-means clustering of multivariate time series: robust techniquesThe integrated copula spectrum


Uses Software


Cites Work


This page was built for publication: Of copulas, quantiles, ranks and spectra: an \(L_{1}\)-approach to spectral analysis