6 papers
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…
Density correction for multivariate spatial fields of global climate model output using deep learning
Reetam Majumder, Shiqi Fang, A. Sankarasubramanian +2
Global Climate Models (GCMs) are numerical models that simulate complex physical processes within the Earth's climate system and are essential for understanding and predicting clim…
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…
Demonstrating the power and flexibility of variational assumptions for amortized neural posterior estimation in environmental applications
Elliot Maceda, Emily C. Hector, Amanda Lenzi +1
Classic Bayesian methods with complex models are frequently infeasible due to an intractable likelihood. Simulation-based inference methods, such as Approximate Bayesian Computing…
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…