3 papers
stat.ME2026
Copula-Based Endogeneity Correction for Doubly Robust Estimation of Treatment Effect
Sahil Shikalgar, Md. Noor-E-Alam
Doubly Robust (DR) estimation of treatment effect relies on an untestable assumption that is the absence of unobserved confounding. This assumption is par- ticularly problematic in…
stat.ML2026
A Novel Computational Framework for Causal Inference: Tree-Based Discretization with ILP-Based Matching
Tianyu Yang, Md. Noor-E-Alam
Causal inference is essential for data-driven decision-making, as it aims to uncover causal relationships from observational data. However, identifying causality remains challengin…
stat.ME2025
Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
Tianyu Yang, Md. Noor-E-Alam
Feature selection is an important but challenging task in causal inference for obtaining unbiased estimates of causal quantities. Properly selected features in causal inference not…