2 papers
stat.ME2026
Synthetic Data Generation With Incomplete Survey Data Under Informative Sampling
Ayat Almomani, Won Chang, Youngdeok Hwang +2
We propose a Bayesian framework for data synthesis and imputation in complex survey settings with informative sampling. To address variance underestimation in existing Bayesian app…
stat.ML2025
Stick-Breaking Mixture Normalizing Flows with Component-Wise Tail Adaptation for Variational Inference
Seungsu Han, Juyoung Hwang, Won Chang
Normalizing flows with a Gaussian base provide a computationally efficient way to approximate posterior distributions in Bayesian inference, but they often struggle to capture comp…