Managing air quality: predicting exceedances of legal limits for PM10 and O\(_3\) concentration using machine learning methods

DOI10.1002/ENV.2707zbMATH Open1545.62828MaRDI QIDQ6626422

Maryna Krylova, Yarema Okhrin

Publication date: 28 October 2024

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

air pollutionparticulate matterozonestochastic gradient tree boostingair quality forecasting

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Greedy function approximation: A gradient boosting machine.
• Dual coordinate descent methods for logistic regression and maximum entropy models
• Cross-validation and multinomial prediction
• 10.1162/15324430152748236
• An Introduction to Statistical Learning
• Extremely randomized trees
• Random forests
• Stochastic gradient boosting.
• The Elements of Statistical Learning

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