2 papers
stat.ME2026
Discussion of "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models"
Eli Ben-Michael, Avi Feller
Choi and Yuan (2025) propose a novel approach to applying matrix completion to the problem of estimating causal effects in panel data. The key insight is that even in the presence…
stat.ME2025
Challenges in Statistics: A Dozen Challenges in Causality and Causal Inference
Carlos Cinelli, Avi Feller, Guido Imbens +3
Causality and causal inference have emerged as core research areas at the interface of modern statistics and domains including biomedical sciences, social sciences, computer scienc…