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

DOI10.1080/02664763.2022.2064976OpenAlexW4224438195MaRDI QIDQ6109772

Stuart Barber, Xiaokai Nie, Wenqian Shen, Charles C. Taylor, Unnamed Author

Publication date: 28 July 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://eprints.whiterose.ac.uk/185551/1/airpollution.pdf

zbMATH Keywords

time seriesair pollutionCARTspatial analysisMODWTCOVID

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring
• Classification tree methods for panel data using wavelet-transformed time series
• Interval forecasts based on regression trees for streaming data
• NONLINEAR DETERMINISTIC ANALYSIS OF AIR POLLUTION DYNAMICS IN A RURAL AND AGRICULTURAL SETTING
• Ten Lectures on Wavelets
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