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cs.LG2025
Large-Scale Bayesian Causal Discovery with Interventional Data
Seong Woo Han, Daniel Duy Vo, Brielin C. Brown
Inferring the causal relationships among a set of variables in the form of a directed acyclic graph (DAG) is an important but notoriously challenging problem. Recently, advancement…
stat.ME2025
Bayesian Sensitivity Analyses for Policy Evaluation with Difference-in-Differences under Violations of Parallel Trends
Seong Woo Han, Nandita Mitra, Gary Hettinger +1
Violations of the parallel trends assumption pose significant challenges for causal inference in difference-in-differences (DiD) studies, especially in policy evaluations where pre…