- International Journal
< Statistical Methodologies >
Kim H and Shin SJ (2025): "Variable selection for AUC-optimizing classification in High Dimensions",
Computational Statistics & Data Analysis, 213. https://www.sciencedirect.com/science/article/pii/S016794732500132X?via%3Dihub
Kim H, Pawitan, Y., Lee, W (2024). "Reparametrized Firth's Logistic Regressions for Dose Finding Study With the Biased-Coin Design",
Pharmaceutical Statistics, 35. https://onlinelibrary.wiley.com/doi/epdf/10.1002/pst.2423
Kim H and Shin SJ (2024). "L1-penalized AUC-optimization with a surrogate loss", Communications for Statistical Applications and Methods 31.2, 203-212. http://www.csam.or.kr/journal/view.html?uid=2108&pn=lastest&vmd=Full
Park MH, Kim H, and Shin SJ (2023). "L1-penalized fraud detection support vector machines", Journal of the Korean Statistical Society, 52(2), 420-439. https://link.springer.com/article/10.1007/s42952-023-00207-6
Kim H, Sohn IS, and Shin SJ (2021). "Regularization paths of L1-penalized ROC Curve-Optimizing Support Vector Machines",
Stat, 63, p.1133--452. https://onlinelibrary.wiley.com/doi/epdf/10.1002/sta4.400
Kim H and Shin SJ (2021): "A quantile-slicing approach for sufficient dimension reduction with censored responses",
Biometrical Journal, 63(1), .201--212. https://onlinelibrary.wiley.com/doi/epdf/10.1002/bimj.201900250
Kim H, Shin SJ, and Yichao Wu (2020) "Quantile-slicing estimation for dimension reduction in regression",
Journal of Statistical Planning and Inference, 198 (1), p.1--12 https://www.sciencedirect.com/science/article/abs/pii/S0378375818300272
< Submitted / Working Papers >
Kim H, Hosik Choi, Lee W "Partially privacy-protected logistic regression with L1 penalty and sign constraint", Under Revisions
Kim H, "Regularization paths of L1-penalized Support Vector Regression", Under Revisions
Kim H, MH Park, Shin SJ "L1.svmpath: An R package for SVM, ROCSVM and FDSVM with L1-penalty", To be submitted soon, Manuscript available upon request
Kim H, Chi Tim Ng, Lee W, "Simultaneous estimation of the change points and the time-varying coefficients for time series models", To be submitted soon, Manuscript available upon request
Kim H and Shin SJ, "Oracle Property of U-estimates with convex loss and SCAD penalty", To be submitted soon, Manuscript available upon request
Lee YJ and Kim H*, "Doubly Penalized AUC-Optimization in High Dimensions", To be submitted soon, Manuscript available upon request
Kim H, and Shin SJ, ROC-optimizing Screening in Ultrahigh-dimensional binary classification, In preparation
Kim H, and Park KW, "SCAD-penalized Covariance Regression in High Dimensions", In preparation
Choi TH and Kim H*, "Oracle Properties of Broken Ridge Regression Support Vector Machine", In preparation
< Applications >
Bae HJ, Kim H, and Shin SJ (2022) "The use of Support Vector Machines in Semi-supervised classification", Communications for Statistical Applications and Methods, 29 (1), p.193--202.
http://www.csam.or.kr/journal/view.html?doi=10.29220/CSAM.2022.29.2.193
Yu S, Kim BS, Won CW, Choi J, Kim S, Kim H, and Kim MJ (2016) Body Mass Index and Mortality according to Gender in a Community-Dwelling Elderly Population: The 3-Yea Follow-up Findings from the Living Profiles of Older People Surveys in Korea, Korean Journal of Family Medicine, 37(6), p.317--322. https://pubmed.ncbi.nlm.nih.gov/27900068/
- Domestic Journal
JY Kim, EJ Lee, ID Ha, Kim H* (2025) "Predicting the number of subway passengers in Busan after COVID-19†", Journal of the Korean Data & Information Science Society (한국데이터정보과학회), 36, p.641--650.
Shin JM, Kim H, and Shin SJ (2021) "A comparison study of inverse censoring probability weighting in censored regression", The Korean Journal of Applied Statistics (응용통계연구), 34 (6), p.957--968.
Kim H, Ko T, Park NW, and Lee W (2014) Comparison of bias correction methods for the rare event logistic regression, The Korean Journal of Applied Statistics (응용통계연구), 27 (2), p.277-290.