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TrendLSW: Wavelet methods for analysing locally stationary time series

TrendLSW: Wavelet methods for analysing locally stationary time series
TrendLSW: Wavelet methods for analysing locally stationary time series
McGonigle, Euan T.
1eec7a96-1343-4bf5-a131-432fe50842cd
Killick, Rebecca
40e5e896-56f4-4cbe-a376-d24efaea2dfc
Nunes, Matthew
906e9edc-1059-4234-994a-56ab886e4c8b
McGonigle, Euan T.
1eec7a96-1343-4bf5-a131-432fe50842cd
Killick, Rebecca
40e5e896-56f4-4cbe-a376-d24efaea2dfc
Nunes, Matthew
906e9edc-1059-4234-994a-56ab886e4c8b

(2024) TrendLSW: Wavelet methods for analysing locally stationary time series. [Software]

Record type: Software

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Published date: 30 April 2024
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Identifiers

Local EPrints ID: 490022
URI: http://eprints.soton.ac.uk/id/eprint/490022
PURE UUID: 4caadeb5-7dd7-43b2-b185-ad4b1d2a8bc2
ORCID for Euan T. McGonigle: ORCID iD orcid.org/0000-0003-0902-0035

Catalogue record

Date deposited: 13 May 2024 17:01
Last modified: 30 May 2024 02:05

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Contributors

Author: Euan T. McGonigle ORCID iD
Author: Rebecca Killick
Author: Matthew Nunes

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