학력

• 서울대학교 계산통계학과 이학사 (1998)
• 서울대학교 통계학과 이학석사 (2000)
• Texas A&M University 통계학과 Ph.D. (2009)

경력

• 미국 Harvard University 박사후 연구원 (2009~2010)
• 한국외국어대학교 전임강사 (2010~2012)
• 한국외국어대학교 조교수 (2012~2015)
• 한국외국어대학교 부교수 (2015~2020.08)
• (현)한국외국어대학교 교수 (2020.09~)
• Associate Editor, Communication for Statistical Application and Methods (2017~2026)
• Associate Editor, Computational Statistics and Data Analysis (2018~2024)

연구분야

• 다변량/고차원자료분석
• 차원축소
• 로버스트 통계

주요논문 및 저서

논문

    (*) Corresponding author, (#) my graduate students at HUFS.

• [30] Jeseok Lee# and Seokho Lee* (2026+) Robust estimation for Poisson models via the loss shifting method. Journal of Statistical Computation and Simulation. Accepted.
• [29] Jae Yun Joo#, Seokho Lee* (2026+) A latent variable approach to principal component analysis for correlated observations. Journal of the Korean Statistical Society, Accepted.
• [28] Kwangok Seo, Johan Lim, Seokho Lee, Jong Hee Park* (2026+) $\ell_0$-regularized item response theory model for robust ideal point estimation. Journal of the Royal Statistical Society, Series A. Accepted.
• [27] Jae Yun Joo#, Seokho Lee* (2026) Accurate quantile estimation via clipped check loss minimization. Computational Statistics and Data Analysis. 224. Article 108420
• [26] Bokyoung Shin#, Seokho Lee* (2023) Robust logistic regression with shift parameter estimation. Journal of Statistical Computation and Simulation. 93, 2625-2641.
• [25] Hao Li#, Seokho Lee* (2023) Least clipped absolute deviation for robust regression using skipped median. Communications for Statistical Applications and Methods. 30, 135-147.
• [24] Seokho Lee*, Hyelim Jung# (2022). Individual transition label noise logistic regression model in binary classification for incorrectly labeled data. Technometrics. 64, 18-29.
• [23] Jae Yun Joo#, Seokho Lee* (2021) Binary classification on compositional data. Communications for Statistical Applications and Methods. 28, 89-97.
• [22] Seong J. Yang, Hyejin Shin, Sang Han Lee, Seokho Lee* (2020) Functional linear regression model with randomly censored data: predicting conversion time to Alzheimer's disease. Computational Statistics and Data Analysis. 150, Article 107009.
• [21] Brent A. Coull*, Seokho Lee, Glen McGee, Justin Manjourides, Murrey A. Mittleman, Gregory A. Wellnius (2020) Corrections for measurement error due to delayed onset of illness for casecrossover designs. Biometrics. 76(3). 963-972.
• [20] Hosik Choi, Seokho Lee* (2019) Convex clustering for binary data. Advances in Data Analysis and Classification. 13. 991-1018.
• [19] Seokho Lee*, Seonhwa Kim# (2019) Marginalized lasso in sparse regression. Journal of the Korean Statistical Society. 49. 396-411.
• [18] Xiaofang Wang, Hyojin Kweon, Seokho Lee, Hyejin Shin, Beelee Chua, Mark R. Liles, Ming-Kuo Lee, Ahjeong Son* (2018) Vulnerability of DNA hybridization in soils is due to Mg2+ ion induced DNA aggregation. Soil Biology and Biochemistry. 125, 300-308.
• [17] Jongyoung Kim#, Seokho Lee* (2017) A convenient approach for penalty parameter selection in robust regression. Communications for Statistical Applications and Methods. 24, 651-662.
• [16] Seokho Lee*, Hyejin Shin, Sang Han Lee (2016) Label-noise resistant logistic regression for functional data classification with an application to Alzheimer's disease study. Biometrics. 72, 1325-1335.
• [15] Sunwoo Han#, Seongyun Hwang#, Seokho Lee* (2016) Ensemble approach for improving prediction in kernel regression and classification. Communications for Statistical Application and Methods. 23, 355-362.
• [14] Hyejin Shin, Seokho Lee* (2016) An RKHS approach for robust functional linear regression. Statistica Sinica. 26, 255-272.
• [13] Hosung Lee#, Yun Mi Park#, Seokho Lee* (2015) Principal component regression by principal component selection. Communications for Statistical Application and Methods. 22, 173-180
• [12] Seokho Lee, Johan Lim*, Insuk Sohn, Sin-Ho Jung, Cheol-Keun Park (2015) Two sample test for high dimensional partially paired data. Journal of Applied Statistics. 42, 1946-1961.
• [11] Hyejin Shin, Seokho Lee* (2015) Canonical correlation analysis for irregularly and sparsely observed functional data. Journal of Multivariate Analysis. 134, 1-18.
• [10] Kiho Kim#, Seokho Lee* (2014) Logistic regression classification by principal component selection. Communications for Statistical Applications and Methods. 21, 61-68.
• [9] Seokho Lee* , Jianhua Z. Huang (2014) A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood. Statistics and Computing.  24, 429-441.
• [8] Sungpyo Kim*, Zuwhan Yun, Un-Hwa Ha, Seokho Lee, Hongkeun Park, Eilhann E Kwon, Yunchul Cho, Sungwook Choung, Kartik Chandran (2013) Transfer of antibiotic resistance plasmids in pure and activated sludge cultures in the presence of environmentally representative micro-contaminant concentrations. Science of Total Environment. 468-469 , 813-820.
• [7] Seokho Lee, Hyejin Shin*, Nedret Billor (2013) M-type smoothing spline estimators for principal functions. Computational Statistics and Data Analysis. 66, 89-100.
• [6] Seokho Lee*, Jianhua Z. Huang (2013) A coordinate descent MM algorithm for fast computation of sparse logistic PCA. Computational Statistics and Data Analysis. 62, 26-38
• [5] Seokho Lee, Micheal P. Epstein, Richard Duncan, Xihong Lin* (2012) Sparse principal component analysis for identifying ancestry-informative markers in genome-wide association studies. Genetic Epidemiology. 36, 293-302
• [4] Seokho Lee, Jianhua Z. Huang*, Jianhua Hu (2010) Sparse logistic principal components analysis for binary data. Annals of Applied Statistics. 4, 1579-1601.
• [3] Seokho Lee, Marc G. Genton*, Reinaldo B. Arellano-Valle (2010) Perturbation of numerical confidential data via skew-t distributions. Management Science. 56, 318-333.
• [2] Johan Lim, Xinlei Wang*, Seokho Lee, Sin-Ho Jung (2008) A distribution-free test of constant mean in linear mixed effect model. Statistics in Medicine. 27, 3833-3849.
• [1] Chung H.J., Park C.H., Han M.R., Seokho Lee, Ohn J.H., Kim J., Kim J.H.* (2005) ArrayXPath II: mapping and visualizing microarray gene e-x-p-r-e-s-s-i-o-n data with biomedical ontologies and integrated pathway resources with scalable vector graphics. Neucleic Acids Research. 33, W621-W626 Web Server issue.

저서/편저

• 최대우, 장영재, 이석호 (2015) 데이터과학입문, 한국방송통신대학교출판문화원

프로젝트

• 비표준적 형태의 다변량 자료를 위한 통계적 모형 및 방법론 개발 (2022~2027) 한국연구재단 중견연구
• 비양질의 다변량 및 함수자료 분석을 위한 통계적 모형 개발 및 추론에 대한 연구 (2017~2022) 한국연구재단 기본연구
• 비표준적 형태의 고차원 자료에 대한 통계적 모형 및 추론에 관한 연구 (2014~2017) 한국연구재단 신진연구
• 벌점최적화를 이용한 비표준적 자료에 대한 차원축소법 및 알고리즘 개발 (2011~2014) 한국연구재단 신진연구