6 papers
Block-Independent Likelihood Ratio Testing for High-Dimensional Mean Vectors with Applications to Matrix-Variate Data
Minsub Shin, Kwangok Seo, Sang Han Lee +1
Testing the equality of two high-dimensional mean vectors is a fundamental problem in multivariate analysis. While the classical Hotelling's test is optimal in low-dimensiona…
Uncertainty-Aware Ideal Point Estimation via Variational EM
Kwangok Seo, Youngjo Lee, Jong Hee Park +2
Roll-call data analysis aims to estimate legislators' ideal points and quantify the associated uncertainty. Existing approaches either rely on Bayesian methods implemented via Mark…
Multiple Testing of One-Sided Hypotheses with Conservative -values
Kwangok Seo, Johan Lim, Hyungwon Choi +1
We study a large-scale one-sided multiple testing problem in which test statistics follow normal distributions with unit variance, and the goal is to identify signals with positive…
Two-Stage Multiple Test Procedures Controlling False Discovery Rate with auxiliary variable and their Application to Set4Delta Mutant Data
Seohwa Hwang, Mark Louie Ramos, DoHwan Park +3
In this paper, we present novel methodologies that incorporate auxiliary variables for multiple hypotheses testing related to the main point of interest while effectively controlli…
-Regularized Item Response Theory Model for Robust Ideal Point Estimation
Kwangok Seo, Johan Lim, Seokho Lee +1
Ideal point estimation methods face a significant challenge when legislators engage in protest voting -- strategically voting against their party to express dissatisfaction. Such v…
Empirical Bayes Method for Large Scale Multiple Testing with Heteroscedastic Errors
Kwangok Seo, Johan Lim, Kaiwen Wang +3
In this paper, we address the normal mean inference problem, which involves testing multiple means of normal random variables with heteroscedastic variances. Most existing empirica…