J. Mulholland

most citedA comparison of statistical and machine learning methods for creating national daily maps of ambient PM

_{2.5}

concentration

99 citations · 100 across the 3 of their papers we have counts for

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stat.AP2019★ 1 cited

Multivariate spectral downscaling for PM2.5 species

Yawen Guan, Brian J Reich, James A Mulholland +1

Fine particulate matter (PM2.5) is a mixture of air pollutants that has adverse effects on human health. Understanding the health effects of PM2.5 mixture and its individual specie…

stat.AP2019★ 99 cited

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM $_{2.5}$ concentration

Veronica J. Berrocal, Yawen Guan, Amanda Muyskens +4

A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited…

Multivariate spectral downscaling for PM2.5 species

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5​ concentration

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM $_{2.5}$ concentration