프론티어 모형

비모수적 함수 추정

금융 자료 분석

뇌신경영상 자료 분석

[26] Jeong, S.-O., Pae, C. and Park, H.-J. (2016+), Connectivity-based change point detection for large-size functional networks, Neuroimage, accepted (http://dx.doi.org/10.1016/j.neuroimage.2016.09.019)

[25] 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.

[24] 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.

[23] 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.

[22] 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.

[21] 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.

[20] 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.

[19] 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.

[18] 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.

[17] 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.

[16] 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.

[15] 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.

[14] 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.

[13] Jeong, S.-O., Park, B. U. and Simar, L. (2010), Nonparametric conditional effciency measures: asymptotic properties, Annals of Operations Research 173, 105-122.

[12] Jeong, S.-O. and Kang, K.-H. (2009), Nonparametric estimation of Value-at-Risk, Journal of Applied Statistics 36, 1225-1238.

[11] 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.

[10] 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.

[9] 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.

[8] 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.

[7] 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.

[6] 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.

[5] Jeong, S.-O. and Simar, L. (2006), Linearly interpolated FDH efficiency score for nonconvex frontiers, Journal of Multivariate Analysis 97, 2141-2161.

[4] Cho, K., Jeong, S.-O. and Shin, K.-I. (2006), Shift-power transformation, The Korean Journal of Applied Statistics 19, 283-290.

[3] 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.

[2] Jeong, S.-O. (2004), Asymptotic distribution of DEA efficiency scores, Journal of the Korean Statistical Society 33, 449-458.

[1] 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.

[Book chapters]

[3] Jeong, S.-O. and Park, B. U. (2011), On convex boundary estimation, in Van Keilegom (eds), Exploring Research Frontiers in Contemporary Statistics and Econometrics, Springer.

[2] Park, B. U., Jeong, S.-O. and Lee, Y. K. (2006), Nonparametric estimation of production efficiency, in Fan, J. and Koul, H. L. (eds), Frontiers in Statistics, Imperial College Press.

[1] Hardle, W. and Jeong, S.-O. (2005), Nonparametric productivity analysis, in Cizek, P., Hardle, W. and Weron, R. (eds), Statistical Tools for Finance and Insurance, Springer.

최대우 정석오 공역(2016), 빅데이터 오픈소스 R, 성안당.

강기훈 외(2005). 베이지안통계학(개정판), 자유아카데미.