A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide.
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Authors
Chen, Jiede Hoogh, Kees
Gulliver, John
Hoffmann, Barbara
Hertel, Ole
Ketzel, Matthias
Bauwelinck, Mariska
van Donkelaar, Aaron
Hvidtfeldt, Ulla A
Katsouyanni, Klea
Janssen, Nicole A H
Martin, Randall V
Samoli, Evangelia
Schwartz, Per E
Stafoggia, Massimo
Bellander, Tom
Strak, Maciek
Wolf, Kathrin
Vienneau, Danielle
Vermeulen, Roel
Brunekreef, Bert
Hoek, Gerard
Type
ArticleLanguage
en
Metadata
Show full item recordTitle
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide.Published in
Environ Int 2019; 130:104934PMID
31229871ae974a485f413a2113503eed53cd6c53
10.1016/j.envint.2019.104934
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