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Multivariate Locally Stationary Wavelet Analysis with the mvLSW R Package

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>9/08/2019
<mark>Journal</mark>Journal of Statistical Software
Issue number11
Number of pages19
Publication StatusPublished
<mark>Original language</mark>English


This paper describes the R package mvLSW. The package contains a suite of tools for the analysis of multivariate locally stationary wavelet (LSW) time series. Key elements include: (i) the synthesis of multivariate LSW time series for a given multivariate evolutionary wavelet spectrum (EWS); (ii) estimation of the time-dependent multivariate EWS for a given time series; (iii) estimation of the time-dependent coherence and partial coherence between time series channels; and, (iv) estimation of confidence intervals for the multivariate EWS estimation. A demonstration of the package is presented via both a simulated example and a case study using the EuStockMarkets data from the R data repository.