Items where Author is "Schwartz, Per E."

Article

Chen, Jie and de Hoogh, Kees and Gulliver, John and Hoffmann, Barbara and Hertel, Ole and Ketzel, Matthias and Bauwelinck, Mariska and van Donkelaar, Aaron and Hvidtfeldt, Ulla A. and Katsouyanni, Klea and Janssen, Nicole A. H. and Martin, Randall V. and Samoli, Evangelia and Schwartz, Per E. and Stafoggia, Massimo and Bellander, Tom and Strak, Maciek and Wolf, Kathrin and Vienneau, Danielle and Vermeulen, Roel and Brunekreef, Bert and Hoek, Gerard. (2019) A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide. Environment international, 130. p. 104934.

de Hoogh, Kees and Chen, Jie and Gulliver, John and Hoffmann, Barbara and Hertel, Ole and Ketzel, Matthias and Bauwelinck, Mariska and van Donkelaar, Aaron and Hvidtfeldt, Ulla A. and Katsouyanni, Klea and Klompmaker, Jochem and Martin, Randal V. and Samoli, Evangelia and Schwartz, Per E. and Stafoggia, Massimo and Bellander, Tom and Strak, Maciej and Wolf, Kathrin and Vienneau, Danielle and Brunekreef, Bert and Hoek, Gerard. (2018) Spatial PM2.5, NO2, O3 and BC models for Western Europe - evaluation of spatiotemporal stability. Environment international, 120. pp. 81-92.