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A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide

dc.contributor.authorChen, Jie
dc.contributor.authorde Hoogh, Kees
dc.contributor.authorGulliver, John
dc.contributor.authorHoffman, Barbara Anna
dc.contributor.authorHertel, Ole
dc.contributor.authorKetzel, Matthias
dc.contributor.authorBauwelinck, Mariska
dc.contributor.authorvan Donkelaar, Aaron
dc.contributor.authorHvidtfeldt, Ulla A.
dc.contributor.authorKatsouyanni, Klea
dc.contributor.authorJanssen, Nicole A.H.
dc.contributor.authorMartin, Randall V.
dc.contributor.authorSamoli, Evangelia
dc.contributor.authorSchwarze, Per Everhard
dc.contributor.authorStafoggia, Massimo
dc.contributor.authorBellander, Tom
dc.contributor.authorStrak, Maciek
dc.contributor.authorWolf, Kathrin
dc.contributor.authorVienneau, Danielle
dc.contributor.authorVermeulen, Roel
dc.contributor.authorBrunekreef, Bert
dc.contributor.authorHoek, Gerard
dc.date.accessioned2019-11-13T07:54:20Z
dc.date.available2019-11-13T07:54:20Z
dc.date.created2019-11-12T10:50:06Z
dc.date.issued2019
dc.identifier.issn0160-4120
dc.identifier.urihttp://hdl.handle.net/11250/2628026
dc.language.isoeng
dc.titleA comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.volume130
dc.source.journalEnvironment International
dc.identifier.doi10.1016/j.envint.2019.104934
dc.identifier.cristin1746388
cristin.unitcode7502,4,0,0
cristin.unitnameSmittevern, miljø og helse
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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