Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting

Zhao, X, Barber, S orcid.org/0000-0002-7611-7219, Taylor, CC orcid.org/0000-0003-0181-1094 et al. (2 more authors) (2022) Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting. Journal of Applied Statistics, 50 (9). pp. 2036-2054. ISSN 0266-4763

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Item Type: Article
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© 2022 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in Journal of Applied Statistics. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: CART; MODWT; COVID; air pollution; time series; spatial analysis
Dates:
  • Published: 25 April 2022
  • Published (online): 25 April 2022
  • Accepted: 6 April 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Apr 2022 11:38
Last Modified: 08 Nov 2023 15:49
Status: Published
Publisher: Taylor & Francis
Identification Number: 10.1080/02664763.2022.2064976
Open Archives Initiative ID (OAI ID):

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