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Constrained Mixed-Effect Models with Ensemble Learning for Prediction of Nitrogen Oxides Concentrations at High Spatiotemporal Resolution
Spatiotemporal models to estimate ambient exposures at high spatiotemporal resolutions are crucial in large-scale air pollution epidemiological studies that follow participants over extended periods. Previous models typically rely on central-site monitoring data and/or covered short periods, limitin...
Tallennettuna:
| Julkaisussa: | Environ Sci Technol |
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| Päätekijät: | , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5609852/ https://ncbi.nlm.nih.gov/pubmed/28727456 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.est.7b01864 |
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