7 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…
Conformalized Method for Empirical Bayes Normal Mean Inference Problem with Heteroscedastic Variance
Kwangok Seo, Johan Lim
We study the normal mean inference problem, which involves simultaneous testing of the means of many normal distributions. This problem has been extensively studied within the empi…
On parameter estimation for the truncated skew-normal distribution
Kwangok Seo, Seul Lee, Johan Lim
Parameter estimation for the truncated skew-normal distribution is challenging, as truncation introduces additional nonlinearity into the likelihood function and often leads to num…
-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…