research
∙
05/14/2023
An Improved Doubly Robust Estimator Using Partially Recovered Unmeasured Spatial Confounder
Studies in environmental and epidemiological sciences are often spatiall...
share
research
∙
12/24/2020
Kryging: Geostatistical analysis of large-scale datasets using Krylov subspace methods
Analyzing massive spatial datasets using Gaussian process model poses co...
research
∙
12/22/2020
A spectral adjustment for spatial confounding
Adjusting for an unmeasured confounder is generally an intractable probl...
research
∙
07/06/2020
A review of spatial causal inference methods for environmental and epidemiological applications
The scientific rigor and computational methods of causal inference have ...
research
∙
09/26/2019
Statistical downscaling with spatial misalignment: Application to wildland fire PM_2.5 concentration forecasting
Fine particulate matter, PM_2.5, has been documented to have adverse hea...
research
∙
09/12/2019
Fast expectation-maximization algorithms for spatial generalized linear mixed models
Spatial generalized linear mixed models (SGLMMs) are popular and flexibl...
research
∙
09/05/2019
Multivariate spectral downscaling for PM2.5 species
Fine particulate matter (PM2.5) is a mixture of air pollutants that has ...
research
∙
08/06/2019
Fossil fuel resources, decarbonization, and economic growth drive the feasibility of Paris climate targets
Understanding how reducing carbon dioxide (CO2) emissions impacts climat...
research
∙
07/31/2019
Ice Model Calibration Using Semi-continuous Spatial Data
Rapid changes in Earth's cryosphere caused by human activity can lead to...
research
∙
04/17/2019
A comparison of statistical and machine learning methods for creating national daily maps of ambient PM_2.5 concentration
A typical problem in air pollution epidemiology is exposure assessment f...
research
∙
03/28/2019
Nearest-Neighbor Neural Networks for Geostatistics
Kriging is the predominant method used for spatial prediction, but relie...
research
∙
10/15/2018
Computer model calibration based on image warping metrics: an application for sea ice deformation
Arctic sea ice plays an important role in the global climate. Sea ice mo...
research
∙
10/08/2018