4 papers
Hierarchical Bayesian Crowdsourcing with Item Difficulty
Seong Woo Han, Ozan Adıgüzel, Bob Carpenter
In applied statistics and machine learning, the gold standards used for training are often biased and almost always noisy. Dawid and Skene's justifiably popular crowdsourcing model…
iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis
Farica Zhuang, Seong Woo Han, Zixuan Wen +3
Alzheimer's Disease (AD) is a complex neurodegenerative disorder that continues to impact millions of people worldwide. Predicting AD conversion during the prodromal stage remains…
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…
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…