• 최 태 련(Choi, Taeryon)
• 직위 : 교수
• 전화: (02) 3290-2245 E-mail : trchoi@korea.ac.kr
• 연구실 : 정경관 611호
• 주요연구영역 : Bayesian Statistics

학력

• Ph.D. in Statistics, 2005, Carnegie Mellon University, Pittsburgh, PA, U.S.A.
• M.S. in Statistics, 2000, Seoul National University, Seoul, Korea
• B.S. in Computer Science and Statistics, 1998, Seoul National University, Seoul, Korea

Professional Experiences

• Sep 2015 ~ present, Professor of Statistics, Korea University
• Sep 2010 ~ Aug 2015, Associate professor of Statistics, Korea University
• Sep 2009 ~ Aug 2010, Assistant professor of Statistics, Korea University
• Mar 2008 ~ Aug 2009, Assistant professor of Statistics, Inha University
• Aug 2005 ~ Feb 2008, Assistant professor of Statistics, University of Maryland, Baltimore County

연구논문

국제학술지

• • Choi, T. Kim, H-J., and Jo, S. (2016). Bayesian variable selection approach to a Bernstein polynomial regression model with stochastic constraints. Journal of Applied Statistics, Volum 43, 2751-2771.


• • Lian, H., Choi, T., Meng, J., and Jo, S. (2016). Posterior convergence for Bayesian functional linear regression. Journal of Multivariate Analysis, Volume 150, 27-41.


• • Yang, J., Zhu, H., Choi, T., and Cox, D. (2016). Smoothing and mean-covariance estimation of functional data with a Bayesian hierarchical model. Bayesian Analysis, Volume 11, 649-670.


• • Jo, S., Roh, T. and Choi, T. (2016). Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures. Journal of Nonparametric Statistics, Volume 28, 177-206.


• • Kim, H-J., Choi, T., and Lee, S. (2016). A hierarchical Bayesian regression model for the uncertain functional constraint using screened scale mixtures of Gaussian distributions. Statistics : A Journal of Theoretical and Applied Statistics, Volume 50, 350-376.


• • Hart, J., Choi, T., and Yi, S. (2016). Frequentist nonparametric goodness-of-fit tests via marginal likelihood ratio, Computational Statistics and Data Analysis, Volume 96, 120-132.


• • Kim, H-J., Choi, T., and Jo, S. (2016). Bayesian factor analysis with uncertain functional constraints about factor loadings, Journal of Multivariate Analysis, Volume 144, 110-128.


• • Choi, T. and Rousseau, J. (2015). A note on Bayes factor consistency in partial linear models, Journal of Statistical Planning and Inference, Volume 166, 158-170.


• • Choi, T. and Woo, Y. (2015). A partially linear Model using a Gaussian process prior, Communications in Statistics, Simulation and Computation, Volume 44, Issue 7, 1770-1786.


• • Kim, H. and Choi, T. (2014). On Bayesian estimation of regression models subject to uncertainty about functional constraints, Journal of the Korean Statistical Society, Volume 43, Issue 1, 133-147.


• • Choi, T. and Woo, Y. (2013). On asymptotic properties of Bayesian partially linear models, Journal of the Korean Statistical Society, Volume 42, Issue 4, 529-541.


• • Yi, G., Shi, J. Q. and Choi, T. (2011) "Penalized Gaussian process regression and classification for high-dimensional nonlinear data", Biometrics, Volume 67, Issue 4, 1285-1294.


• • Yi, S. and Choi, T. (2011) "A direct approach to understanding posterior consistency of Bayesian regression problems" Communications in Statistics, Theory and Methods, Volume 40, Issue 18, 3316-3326.


• • Kim, J.-M., Jung, Y.-S., Choi, T., and Sunger, E. A. (2011) "Partial correlation with Copula modeling" Computational Statistics and Data Analysis, Volume 55, Issue 3, 1357-1366.


• • Kim, J-M, Sungur, E. A., Choi, T., and Heo, T.-Y. (2011) "Generalized Bivariate Copulas and Their Properties", Model Assisted Statistics and Applications-International Journal; Vol. 6, 127-136.


• • Choi, T., Shi, J. Q., and Wang, B. (2011) "A Gaussian process regression approach to a single-index model", Journal of Nonparametric Statistics, vol.23, No. 1, 21-36.


• • Choi, T., Schervish, M. J., Schmitt, A. K., and Small, M. J. (2010) "Bayesian Hierarchical Analysis for Multiple Health Endpoints in a Toxicity Study", Journal of Agricultural, Biological and Environmental Statistics, vol. 15, No. 3, 290-307.


• • Choi, T. (2009) "Asymptotic properties of posterior distributions in nonparametric regression with non-Gaussian errors", Annals of the Institute of Statistical Mathematics, vol. 61, No. 4, pp 835-859.


• • Choi, T., Lee, J., and Roy, A. (2009), "A note on the Bayes factor in a semiparametric regression model", Journal of Multivariate Analysis, vol. 100, Issue 6, pp 1316-1327.


• • Choi, T. (2008) "Convergence of posterior distribution in the mixture of regressions", Journal of Nonparametric Statistics, vol. 20, Issue 4, pp 337-351.


• • Choi, T. and Ramamoorthi, R. V. (2008) "Remarks on consistency of posterior distributions", IMS Collections, vol. 3, Pushing the Limits of Contemporary Statistics : Contributions in Honor of Jayanta K. Ghosh, pp 170-186.


• • Choi, T., Schervish, M. J., Schmitt, A. K., and Small, M. J. (2008) "A Bayesian approach to logistic regression model with incomplete information", Biometrics, vol. 64, Issue 2, pp 424-430.


• • Choi, T., Schervish, M. J. (2007) "On posterior consistency in nonparametric problems", Journal of Multivariate Analysis, vol. 98, Issue 10, pp 1969-1987.


• • Choi, T. (2007) "Alternative posterior consistency results in nonparametric binary regression using Gaussian process priors", Journal of Statistical Planning and Inference, vol. 137, 2979-2983.


• • Choi, K., Kim, D., and Choi, T. (2006) "Estimating the number of clusters using a multivariate location test statistics", Springer Lecture note in Computer Science (LNCS-LNAI 4223), Fuzzy Systems and Knowledge Discovery, 373-382.

국내학술지

• • 노태영, 최태련 (2016). 벡터자기회귀 모형 추정을 위한 베이지안 축소 방법론 비교 연구, Journal of the Korean Data Analysis Society, 18(4), 1857-1870.


• • Jo, S., Seok, I. and Choi, T. (2016). A nonparametric Bayesian seemingly unrelated regression model, The Korean Journal of Applied Statistics, 29(4), 627-641.


• • 김효태, 조성일, 최태련 (2015). 적응 기각 추출을 기반으로 하는 난수 생성기의 성능비교, Journal of the Korean Data & Information Science Society, 26(3), 593-610.


• • 조미형, 최태련, 이령화 (2014). 레버리지 효과를 포함하는 베이지안 확률 변동성 모형의 실증적 비교 분석, Journal of the Korean Data Analysis Society, 16(2), 703-717.


• • Lee, M., Choi, T., Kim, J. and Woo, H. (2013). Bayesian analysis of dose-effect relationship of Cadmium for benchmark dose evaluation, The Korean Journal of Applied Statistics, 26(3), 453-470.


• • 오유경, 최태련, 조미형 (2012). 편차정보기준을 이용한 베이지안 확률변동성 모형 선택에 관한 실증적 연구, Journal of the Korean Data Analysis Society, 14(4), 1871-1888.


• • Woo, Y., Choi, T, and Kim W. (2012). A comparison study on the performance of Bayesian partially linear models, 한국통계학회논문집, 19(6), 885-898.


• • 이지호, 최태련, 우윤성 (2011) "영과잉포아송 모형에 대한 베이지안 방법 연구", 응용통계연구 제 24권, 4호, 677-693.


• • 최태련 (2010) "계층적 베이지안 방법을 이용한 용량반응연구에서의 기준용량 추정", Journal of the Korean Data Analysis Society, Vol. 12, No.1, pp119-13

저서

• • Huh, M-H. and Choi, T. (2013). Calculus Essential for Statistics, Kyowoo Co.


• • Shi, J. Q. and Choi, T. (2011) "Gaussian Process Regression Analysis for Functional Data", Chapman & Hall/CRC Press

Research Topic

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준비 중입니다.

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