1 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
Spatiotemporal double machine learning to estimate the impact of Cambodian land concessions on deforestation
Anika Arifin, Duncan DeProfio, Layla Lammers +4
Environmental policy evaluation frequently requires thoughtful consideration of space and time in causal inference. We use novel statistical methods to analyze the causal effect of…
A new mixture model for spatiotemporal exceedances with flexible tail dependence
Ryan Li, Emily C. Hector, Brian J. Reich +1
We propose a new model and estimation framework for spatiotemporal streamflow exceedances above a threshold that flexibly captures asymptotic dependence and independence in the tai…
Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
Wei Zhao, Brian J. Reich, Emily C. Hector
Functional connectivity (FC) analysis of resting-state fMRI data provides a framework for characterizing brain networks and their association with participant-level covariates. Due…
Multivariate and Online Transfer Learning with Uncertainty Quantification
Jimmy Hickey, Jonathan P. Williams, Brian J. Reich +1
Untreated periodontitis causes inflammation within the supporting tissue of the teeth and can ultimately lead to tooth loss. Modeling periodontal outcomes is beneficial as they are…
Distributed model building and recursive integration for big spatial data modeling
Emily C. Hector, Brian J. Reich, Ani Eloyan
Motivated by the need for computationally tractable spatial methods in neuroimaging studies, we develop a distributed and integrated framework for estimation and inference of Gauss…