168 citations · 768 across the 62 of their papers we have counts for
22 papers · 1 filter
A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics
Mohamed A. Abba, Jonathan P Williams, Brian J Reich
A key task in the emerging field of materials informatics is to use machine learning to predict a material's properties and functions. A fast and accurate predictive model allows r…
A spatiotemporal recommendation engine for malaria control
Qian Guan, Brian J. Reich, Eric B. Laber
Malaria is an infectious disease affecting a large population across the world, and interventions need to be efficiently applied to reduce the burden of malaria. We develop a frame…
Accounting for Location Measurement Error in Imaging Data with Application to Atomic Resolution Images of Crystalline Materials
Matthew J. Miller, Matthew J. Cabral, Elizabeth C. Dickey +2
Scientists use imaging to identify objects of interest and infer properties of these objects. The locations of these objects are often measured with error, which when ignored leads…
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…
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…