학력

• 서울대학교 계산통계학과 이학사 (1994)
• 서울대학교 계산통계학과 이학석사 (1996)
• 서울대학교 통계학과 이학박사 (2002)

경력

• 독일 Humboldt Universitaet zu Berlin 박사후 연구원 (2002~2003)
• 벨기에 Universite catholique de Louvain 박사후 연구원 (2003~2004)
• (현) 한국외국어대학교 교수 (2005~)
• (현) (주)서스틴베스트 자문위원 (2006~)

연구분야

• 프론티어 모형
• 비모수적 함수 추정
• 금융 자료 분석
• 뇌신경영상 자료분석

주요논문 및 저서

논문

• Baek, C., Leinwand, B., Lindquist, K. A., Jeong, S.-O., Hopfinger, J., Gates, K. M., Papiras, V. (2023), Detecting changes in correlation networks with application to functional connectivity of fMRI data, Psychometrika 88, 636 - 655.
• Jeong, S.-O., Kang, J., Pae, C., Eo, J., Park, S. M., Son, J. and Park, H.-J. (2021), Empirical Bayes estimation of pairwise maximum entropy model for nonlinear brain state dynamics, Neuroimage 244, 118618.
• Kang, J., Jeong, S.-O., Pae, C. and Park, H.-J. (2021), Bayesian estimation of maximum entropy model for individualized energy landscape analysis of brain state dynamics, Human Brain Mapping 42, 3411-3428.
• Jeong, S.-O., Choi, D. and Jang, W. (2020), A semiparametric mixture method for local false discovery rate estimation from multiple studies, The Annals of Applied Statistics 14, 1242 1257.
• Im, I., Dunn, B. K., Lee, D. I., Galletta, D. F. and Jeong, S.-O. (2019), Predicting the intent of sponsored search users: an exploratory user session-level analysis, Decision Support Systems 121, 25-36.
• Kim, C.-H., Jeong, S.-O. and Jung, Y.-S. (2017), A study on the effect of social value of traditional market on satisfaction, loyalty and local attachment, Journal of Distribution Science 15, 59-68.
• Jeong, S.-O., Pae, C. and Park, H.-J. (2016), Connectivity-based change point detection for large-size functional networks, Neuroimage 143, 353-363
• Seo, B. and Jeong, S.-O.  (2016), Semiparametric maximum likelihood estimation of stochastic frontier model with errors-in-variables, Journal of the Korean Statistical Society 45, 199-209.
• Oh, W., Im, I., Jeon, J. K. and Jeong, S.-O. (2016), Deal-seeking versus brand-seeking: search behaviors and purchase propensities in sponsored search platforms, MIS Quarterly 40, 187-203.
• Jeong, S.-O., Lee, S.-E. and Shin, K.-I. (2015), Relative error prediction via penalized regression, The Korean Journal of Applied Statistics 28, 1103-1111.
• Lee, I. H., Rojewski, J., Gregg, N. and Jeong, S.-O. (2015), Postsecondary education persistence of adolescents with specific learning disabilities or emotional/behavioral disorders, Journal of Special Education 49, 77-88.
• Park, B. U., Jeong, S.-O. and Han, K. (2014), Statistical analysis of nonparametric envelope estimators, The Journal of the National Academy of Science 53, 23-47.
• Jeong, S.-O., Choo, M. and Shin, K.-I. (2014), Shrinkage small area estimation using semiparametric mixed model, The Korean Journal of Applied Statistics 27, 605-617.
• Jeong, S.-O., Hoss, A., Park, C., Kang, K.-H. and Ryu, Y. (2013), Portfolio selection for socially responsible investment via nonparametric frontier models, Communications for Statistical Applications and Methods 20 , 115-128.
• Jeong, S.-O. and Shin, K.-I. (2013), Semiparametric and nonparametric mixed effects models for small area estimation, The Korean Journal of Applied Statistics 26, 71-80.
• Jung, Y. S., Byun, C. B. and Jeong, S.-O. (2012), A study on the influences of exchange relationships, identities, customer orientation of sales employees on job performance focused on social exchange and social identity theory, Journal of Korean Marketing Association 27, 171-197.
• Jeong, S.-O. and Shin, K.-I. (2012), Small area estimation via nonparametric mixed effects model, The Korean Journal of Applied Statistics 25, 457-464.
• Bumhee Park, Joong Il Kim, Dongha Lee, Seok-Oh Jeong, Jong Doo Lee and Hae-Jeong Park (2012), Are brain networks stable during a 24-hour period?, Neuroimage 59, 456-466.
• Park, B. U., Jeong, S.-O. and Simar, L. (2010), Asymptotic distribution of conical-hull estimators of directional edges, Annals of Statistics 38, 1320-1340.
• Jeong, S.-O., Park, B. U. and Simar, L. (2010), Nonparametric conditional effciency measures: asymptotic properties, Annals of Operations Research 173, 105-122.
• Jeong, S.-O. and Kang, K.-H. (2009), Nonparametric estimation of Value-at-Risk, Journal of Applied Statistics 36, 1225-1238.
• Dae-Jin Kim, In-Young Kim, Seok-Oh Jeong and Hae-Jeong Park (2009), Evaluation of Bayesian tensor estimation using tensor coherence, Physics in Medicine and Biology 54, 3785-3802.
• Chen, Y., Hardle, W. and Jeong, S.-O. (2008), Nonparametric risk management with generalized hyperbolic distribution, Journal of the American Statistical Association 103, 910-923.
• Jones, M. C., Park, H., Shin, K.-I., Vines, S. K. and Jeong, S.-O. (2008), Relative error prediction via kernel regression smoothers, Journal of Statistical Planning and Inference 138, 2887-2898.
• Hae-Jeong Park, Tak Youn, Seok-Oh Jeong, Maeng-Keun Oh, Sei Young Kim, Eung Yeop Kim (2008), SENSE Factors for Reliable Cortical Thickness Measurement, Neuroimage 40, 187-196.
• Jeong, S.-O. and Shin, K.-I. (2008), A new nonparametric method for prediction based on mean squared relative errors, Korean Communications in Statistics 15, 255-264.
• Hae-Jeong Park, Seok-Oh Jeong, EungYeop Kim, Joong il Kim, Haeil Park, Maeng-Keun Oh, Dae-Jin Kim, Sei Young Kim, Sung Chul Lee and Jong Doo Lee (2007), Reorganization of neural circuits in the blind on diffusion direction analysis, Neuroreport 18, 1757-1760.
• Jeong, S.-O. and Simar, L. (2006), Linearly interpolated FDH efficiency score for nonconvex frontiers, Journal of Multivariate Analysis 97, 2141-2161.
• Cho, K., Jeong, S.-O. and Shin, K.-I. (2006), Shift-power transformation, The Korean Journal of Applied Statistics 19, 283-290.
• Jeong, S.-O. and Park, B. U. (2006), Large sample approximation of the distribution for convex hull estimators of boundaries, Scandinavian Journal of Statistics 33, 139-151.
• Jeong, S.-O. (2004), Asymptotic distribution of DEA efficiency scores, Journal of the Korean Statistical Society 33, 449-458.
• Park, B. U., Jeong, S.-O., Jones, M. C. and Kang, K. H. (2003), Adaptive variable location kernel density estimators with good performance at boundaries, Journal of Nonparametric Statistics 15, 61-75.

저서/편저

• 최대우 정석오 공역(2016), 빅데이터 오픈소스 R, 성안당.
• 강기훈 외(2005). 베이지안통계학(개정판), 자유아카데미.