6 citations · 6 across the 2 of their papers we have counts for
3 papers · 1 filter
Probabilistic Predictive Principal Component Analysis for Spatially-Misaligned and High-Dimensional Air Pollution Data with Missing Observations
Phuong T. Vu, Timothy V. Larson, Adam A. Szpiro
Accurate predictions of pollutant concentrations at new locations are often of interest in air pollution studies on fine particulate matters (PM), in which data is usually…
National PM2.5 and NO2 Exposure Models for China Based on Land Use Regression, Satellite Measurements, and Universal Kriging
Hao Xu, Matthew J. Bechle, Meng Wang +4
Outdoor air pollution is a major killer worldwide and the fourth largest contributor to the burden of disease in China. China is the most populous country in the world and also has…
Reduced-rank spatio-temporal modeling of air pollution concentrations in the Multi-Ethnic Study of Atherosclerosis and Air Pollution
Casey Olives, Lianne Sheppard, Johan Lindström +3
There is growing evidence in the epidemiologic literature of the relationship between air pollution and adverse health outcomes. Prediction of individual air pollution exposure in…