1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.ST2026
Sharp Inequalities between Total Variation and Hellinger Distances for Gaussian Mixtures
Joonhyuk Jung, Chao Gao
We study the relation between the total variation (TV) and Hellinger distances between two Gaussian location mixtures. Our first result establishes a general upper bound: for any t…
stat.ME2025
A General Bayesian Nonparametric Approach for Estimating Population-Level and Conditional Causal Effects
Yongseok Hur, Joonhyuk Jung, Juhee Lee
We propose a Bayesian nonparametric (BNP) approach to causal inference using observational data consisting of outcome, treatment, and a set of confounders. The conditional distribu…
stat.ML2023★ 1 cited
Covariate balancing using the integral probability metric for causal inference
Insung Kong, Yuha Park, Joonhyuk Jung +2
Weighting methods in causal inference have been widely used to achieve a desirable level of covariate balancing. However, the existing weighting methods have desirable theoretical…