4 papers
Predicting Current Outcomes From Historical Survey Data With Weighted Conformal Prediction
Chihoon Lee, Sungkyu Jung, Hyokyung G. Hong
In large-scale complex surveys such as the National Health and Nutrition Examination Survey (NHANES), some outcomes are measured only in selected years, leaving incomplete records…
iLBA: An R package for confidentially disseminating aggregated frequency tables
Jeehyun Hwang, Dongsun Yoon, Sungkyu Jung +2
Statistical agencies frequently release frequency tables derived from microdata, but small frequency cells may lead to disclosure risks. We present \texttt{iLBA}, an open-source \t…
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis
Sangil Han, Kyoowon Kim, Sungkyu Jung
The singular value decomposition (SVD) is a crucial tool in machine learning and statistical data analysis. However, it is highly susceptible to outliers in the data matrix. Existi…
Generalized Fréchet means with random minimizing domains and its strong consistency
Jaesung Park, Sungkyu Jung
This paper introduces a novel extension of Fréchet means, called \textit{generalized Fréchet means} as a comprehensive framework for characterizing features in probability distribu…