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고려대학교 교수소개

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정경대학

Home > 정경대학 > 통계학과

소개

Prof. 최태련

Tel: (02)3290-2245

E-mail: trchoi@korea.ac.kr

 

  • About Professor
  • Curriculum vitae
  • Publication
  • Research
  • Teaching
  • Lab Members
  • Profile

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

    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 
     

     

    경력

    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

     

  • Publications

    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, pp119-133

     

    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

    준비 중입니다.

  • Teaching

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  • Lab Members

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