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01/30/2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Observational studies require adjustment for confounding factors that ar...
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09/15/2022
ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders
We propose a new sensitivity analysis model that combines copulas and no...
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06/13/2022
Image-based Treatment Effect Heterogeneity
Randomized controlled trials (RCTs) are considered the gold standard for...
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06/13/2022
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa
Observational studies of causal effects require adjustment for confoundi...
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05/01/2022
Conceptualizing Treatment Leakage in Text-based Causal Inference
Causal inference methods that control for text-based confounders are bec...
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02/17/2022
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows
This work demonstrates the application of a particular branch of causal ...
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02/07/2022
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows
Structural Equation/Causal Models (SEMs/SCMs) are widely used in epidemi...
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12/27/2021
Using satellites and artificial intelligence to measure health and material-living standards in India
The application of deep learning methods to survey human development in ...
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12/08/2020