2 citations · 3 across the 4 of their papers we have counts for
9 papers
A spectral adjustment for spatial confounding
Yawen Guan, Garritt L. Page, Brian J Reich +2
Adjusting for an unmeasured confounder is generally an intractable problem, but in the spatial setting it may be possible under certain conditions. In this paper, we derive necessa…
A review of spatial causal inference methods for environmental and epidemiological applications
Brian J Reich, Shu Yang, Yawen Guan +3
The scientific rigor and computational methods of causal inference have had great impacts on many disciplines, but have only recently begun to take hold in spatial applications. Sp…
Statistical downscaling with spatial misalignment: Application to wildland fire PM concentration forecasting
Suman Majumder, Yawen Guan, Brian J. Reich +2
Fine particulate matter, PM, has been documented to have adverse health effects and wildland fires are a major contributor to PM air pollution in the US. Forecaster…
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…
Ice Model Calibration Using Semi-continuous Spatial Data
Won Chang, Bledar A. Konomi, Georgios Karagiannis +2
Rapid changes in Earth's cryosphere caused by human activity can lead to significant environmental impacts. Computer models provide a useful tool for understanding the behavior and…
A comparison of statistical and machine learning methods for creating national daily maps of ambient PM 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…