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이 석호 교수님
이 석호 교수님
다변량자료분석
자연과학대학 204호
lees@hufs.ac.kr
031-330-4562
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)
(현) 한국외국어대학교 부교수 (2015~)


 

연구분야
차원축소법, 함수자료분석, 로버스트기법, 고차원자료분석
논문


(*교신저자, #대학원생)


[1] Chung HJ, Park CH, Han MR, Seokho Lee , Ohn JH, Kim J, Kim JH* (2005) ArrayXPath II: mapping and visualizing microarray gene expression data with biomedical ontologies and integrated pathway resources with scalable vector graphics. Neucleic Acids Research 33 , W621-W626 Web Server issue.
 

[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.
 

[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.
 

[4] Seokho Lee , Jianhua Z. Huang*, Jianhua Hu (2010) Sparse logistic principal components analysis for binary data. Annals of Applied Statistics 4 , 1579-1601.
 

[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
 

[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
 

[7] Seokho Lee , Hyejin Shin*, Nedret Billor (2013) M-type smoothing spline estimators for principal functions. Computational Statistics and Data Analysis . 66 , 89-100.

 

[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.

 

[9] Seokho Lee* , Jianhua Z. Huang (2014) A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood. Statistics and Computing ,  24 , 429-441.
 

[10] Kiho Kim#, Seokho Lee* (2014) Logistic regression classification by principal component selection. Communications for Statistical Applications and Methods . 21, 61-68.

 

[11] Hyejin Shin, Seokho Lee* (2015) Canonical correlation analysis for irregularly and sparsely observed functional data. Journal of Multivariate Analysis. 134, 1-18.

 

[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.
 

[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.

 

[14] Hyejin Shin, Seokho Lee* (2016) An RKHS approach for robust functional linear regression. Statistica Sinica. 26, 255-272.

 

[15] 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. Accepted.

 

 저서

최대우, 장영재, 이석호 (2015) 데이터과학입문, 한국방송통신대학교출판문화원

 

 
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