고려대학교 정경대학 통계학과

학력

• 1984. 9 ~ 1988. 8 University of California-Berkeley, 박사  
  1980. 3 ~ 1984. 2 서울대학교 계산통계학과, 학사

경력 및 수상

	
2012. 3 ~ 2014.3 고려대학교 통계연구소 소장
2004. 8 ~ 현재 고려대학교 통계학과 교수  
2002. 3 ~ 2004. 8 인하대학교 통계학과 정교수  
1988. 9 ~ 2002. 2 한림대학교 조교수, 부교수, 정교수  
1994. 9 ~ 1995. 8 Stanford University 방문교수

단행본

• 	
  • 데이터 마이닝, 구자용 외 4명, 한국방송통신대학교출판부, 2004. 7
   
  • Matrix Algebra, Peter T. Kim and Koo J.-Y., 자유아카데미, 2010. 2

연구논문

• 국제 학술지
   
  • Jae-Hwan Jeong, Ja-Yong Koo, Seong-Hwan Lee (2017), “Penalized B-spline estimator for regression functions using total variation penalty”, Journal of Statistical Planning and Inference, Vol.184, 77-93
   
  • Peter T.Kim, Ja-Yong Koo and Thanh Mai Pham Ngoc (2016), “Supersmooth testing on the sphere over analytic classes”, Journal of Nonparametric Statistics, Vol.28, No.1, 84-115
   
  • Hosik Choi, Ja-Yong Koo and Changyi Park (2015), “Fused least absolute shrinkage and selection operator for credit scoring”, Journal of Statistical Computation and Simulation, Vol.85, No.11, 2135-2147
   
  • Byoung-Jeong Choi, Kwang-Rae Kim, Kyu-Dong Cho, Changyi Park and Ja-Yong Koo (2014), ”Variable Selection for Naïve Bayes Semi-supervised,” Communications in Statistics Simulation and Computation, Vol.43, No.10, 2702-2713
   
  • Ja-Yong Koo, Kwi Wook Park, Byung Won Kim, Kwang-Rae Kim and Changyi Park (2013), “Structured kernel quantile regression”, Journal of Statistical Computation and Simulation, Vol.83, No.1, 179-190
   
  • Kwang-Rae Kim, Peter T. Kim, Ja-Yong Koo, Michael R Pierrynowski (2013), “Frenet-Serret and the Estimation of Curvature and Torsion,” IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, Vol.7, No.4, 646-654
   
  • Peter E.Jupp, Peter T.Kim, Ja-Yong Koo and Aron Pasieka (2012), “Testing quantum states for purity”, Journal of the Royal Statistical Society SERIES C-Applied Statistics, Vol.61, No.5, 753-763
   
  • Changyi Park, Kwang-Rae Kim, Rangmi Myung, Ja-Yong Koo (2012), “Oracle properties of SCAD-penalized support vector machine”, Journal of Statistical Planning and Inference, Vol.142, No.8, 2257-2270
   
  • Sangjun Lee, Changyi Park and Ja-Yong Koo (2011), “Feature selection in the Laplacian support vector machine”, Computational Statistics & Data analysis, Vol. 55, No.1, 567-577
   
  • L. R. Haff, P.T. Kim, J.-Y. Koo and D. St. P. Richards (2011). “Minimax estimation of wishart distributions,” Annals of Statistics, 2011, Vol. 39, No. 6, 3417-3440
   
  • Luo, ZM, Kim, PT, Kim, TY, Koo, JY (2011). “Deconvolution on the Euclidean motion group SE(3),” Inverse Problem, Vol. 27
   
  • Myoungshic Jhun, Koo, Ja-Yong, Bang Sung-Wan (2010). “Support Vector Machine Using k-Spatial Medians Clustering and Recovery Process,” Communications in Statistics – Simulation and Computation, Vol. 39, 1422-1434.
   
  • Peter T. Kim, Koo J.-Y. (2010). “Intrinsic shape analysis: geodesic pca for Riemannian manifolds modulo isometric lie group actions comment,” Statistica Sinica, Vol. 20, pp 72-76.
   
  • Stephan F. Huckemann, Peter T. Kim, Koo J.-Y., and Axel Munk (2010). "Mobius deconvolution on the hyoerbolic plane with application to impedance density estimation," Annals of Statistics, Vol. 38, pp 2465-2498.
   
  • Peter T. Kim, Koo J.-Y., and Zhi-Ming Luoa. (2009), "Weyl eigenvalue asymtotics and sharp adaptation on vector bundles," Journal of Multivariate Analysis, Vol. 100, pp. 1962-1978.
   
  • Koo, J.-Y., Park, C., and Jhun, M. (2009), "A classification spline machine for building a credit scorecard," Journal of Statistical Computation and Simulation, Vol.79, No.5, 681-689 
   
  • Koo J.-Y., Lee Y., Kim. Y., and Park. C. (2008), "A Bahadur representation of the linear support vector machine," Journal of Machine Learning Reserch, 9,1343-1368.
   
  • Koo J.-Y., and Kim. P. T. (2008), "Asymptotic minimax bounds for stochastic deconvolution over groups," IEEE Transactions on Information Theory, 54, No. 1, 289-298.
   
  • Park, C., Koo, J.-Y., Kim, S., Sohn, I., and Lee, J. W. (2008), "Classification of gene functions using support vector machine time-course gene expression data," Computational Statistics and Data Analysis. Vol.52, No.5, pp 2578-2587.
   
  • Park, C., Koo, J.-Y., Kim, P. T., and Lee, J. W. (2008), "Stepwise feature selection using generalized logistic loss," Computational Statistics and Data Analysis, Vol.52, No.7, pp 3709-3718.
   
  • Koo, J.-Y., and Kim, P. T. (2008), "Sharp adaptation for spherical inverse problems with applications to medical imaging," Journal of Multivariate Analysis, 99, 165-190.
  
  • Jhun, M., Jeong H. C., and Koo. J.-Y. (2007), "On the use of adaptive nearest neighbors for missing value imputation," Communications in Statistics-Simulation and Computation, Vol.36, No.6, 1275-1286.
   
  • Koo, J.-Y., Sohn, I., Kim, S., and Lee, J. W. (2006), "Structured polychotomous machine diagnosis of multiple cancer types using gene expression," Bioinfomatics, 22, 950-958.
   
  • Lee, Y., Lee, S., Koo, J.-Y. (2006), "Structured multicategory support vector machines with analysis of variance decomposition," Biometrika, 93, 555-571.
   
  • Chirikjian, G. S., Kim, P. T. Koo, J.-Y., and Lee, C. H. (2005), "Rotational matching problems," International Journal of Computational Intelligence and Applications, 4, 1-16.
   
  • Kim, Y., and Koo, J.-Y. (2005), "Inverse boosting for monotone regression functions," Computational Statistics and Data Analysis, 49 757-770.
   
  • Koo, J.-Y., and Kim, P. T. (2005), "Statistical inverse problems on manifolds," The Journal of Fourier Analysis and Applications, 11, 639-653.
   
  • Cardot, H., Koo, J.-Y., Park, H. J., and Trubuil, A. (2004), "Boosting diracs for electrophoresis," Journal of Computational and Graphical Statistics, 13, 659-673.
   
  • Kim, P. T., Koo, J.-Y., and Park, H. J. (2004), "Sharp minimaxity and sperical deconvolution for super-smooth error distributions," Journal of Multivariate Analysis, 90, 384-392.
   
  • Jupp, P. E., Kim, P. T., Koo, J.-Y., and Wiegert, P. (2003), "The intrinsic distribution and selection bias of long-period cometary orbits," Journal of the American Statistical Association, 98, 515-521.
   
  • Cavalier, L., and Koo, J.-Y. (2002), "Poisson intensity estimation for tomographic data using a wavelet shrinkage approach," IEEE Transaction on Information Theory, 48, 2794-2802.
   
  • Kim, P. T., and Koo, J.-Y. (2002), "Optimal spherical deconvolution," Journal of Multivariate Analysis, 80, 21-42.
   
  • Fan, J., and Koo, J.-Y. (2002), "Wavelet deconvolution," IEEE Transactions on Information Theory, 48, 734-747.
   
  • Choi, Y., Koo, J.-Y., and Lee, N.-Y. (2001), "Image reconstruction using the wavelet transform for positron emission tomography," IEEE Transactions on Medical Imaging, 20, 1188-1193.
   
  • Kang, K.-H., Koo, J.-Y., and Park, C.-W. (2000), "Kernel estimation of discontinuous regression functions," Statistics and Probability Letters, 47, 277-285.
   
  • Koo, J.-Y., and Kooperberg, C. (2000), "Logspline density estimation for binned data," Statistics and Probability Letters, 46, 133-147.
   
  • Kim, P. T., and Koo, J.-Y. (2000), "Directional mixture models and optimal estimation of the mixing density," The Canadian Journal of Statistics, 28, 383-398.
   
  • Doksum, K., and Koo, J.-Y. (2000), "On spline estimators and prediction intervals in nonparametric regression," Computational Statistics and Data Analysis, 35, 67-82.
   
  • Koo, J.-Y., Kooperberg, C. and Park, J. (1999), "Logspline density estimation under censoring and truncation," Scandinavian Journal of Statistics, 26, 87-105.
   
  • Koo, J.-Y. (1999), "Logspline deconvolution in Besov space," Scandinavian Journal of Statistics, 26, 73-86.
   
  • Koo, J.-Y., and Lee, K.-W. (1998), "B-spline estimation of regression functions with errors-in-variables," Statistics and Probability Letters, 40, 57-66.
   
  • Koo, J.-Y., and Chung, H.-Y. (1998), "Log-density estimation in linear inverse problems," The Annals of Statistics, 26, 335-362.
   
  • Koo, J.-Y. (1998), "Convergence rates for logspline tomography," Journal of Multivariate Analysis, 67, 367-384.
   
  • Koo, J.-Y. (1997), "Spline estimation of discontinuous regression functions," Journal of Computational and Graphical Statistics, 6, 266-284.
   
  • Chung, H.-Y., Lee, K.-W., and Koo, J.-Y. (1996), "A note on bootstrap model selection criterion," Statistics and Probability Letters, 26, 35-41.
   
  • Koo, J.-Y., and Park, B. U. (1996), "B-spline deconvolution based on the EM algorithm," Journal of Statistical Computation and Simulation, 54, 275-288.
   
  • Koo, J.-Y., and Kim, W.-C. (1996), "Wavelet density estimation by approximation of log-densities," Statistics and Probability Letters, 26, 271-278.
   
  • Koo, J.-Y. (1996), "Bivariate B-splines for tensor logspline density estimation," Computational Statistics and Data Analysis, 21, 31-42.
   
  • Koo, J.-Y., and Lee, Y. (1994), "Bivariate B-splines in generalized linear models," Journal of Statistical Computation and Simulation, 50, 119-129.
   
  • Koo, J.-Y. (1993), "Optimal rates of convergence for nonparametric statistical inverse problems," The Annals of Statistics, 21, 590-599.
   
  국내 학술지
  
  • Haesung Lee, Hyun-Jung Ahn, Kwang-Rae Kim, Peter T.Kim, Ja-Yong Koo (2015). “Geodesic Clustering for Covariance Matrices”, Communications for Statistical Applications and Methods, Vol.22, No.4, 321-331
   
  • 최영득, 임경덕, 임대환, 조영래, 구자용 (2014). “임의변수선택 기반 앙상블 판별분석에서 변수의 상대적 중요도에 관한 연구”, 자료분석학회, Vol.16, No.6,  2967-2978
   
  • Kyu-Dong Cho, Eunjee Lee, Taehee Seo, Kwang-Rae Kim and Ja-Yong Koo (2012), ”Visualization of Battleneck Distances for Persistence Diagram,” The Korean Journal of Applied Statistics, 25(6), 1009-1018.
   
  • 여재구, 박창이, 구자용 (2011). “평점화 모형에서 입력변수의 절단값 선택 방법의 비교,” 자료분석학회, Vol. 13, No. 6 (B), pp. 2915-2923.
   
  • 구자용, 김광래, 조규동 (2010). “이항 선택 모형에서의 절단 모수 선택,” 한국통계학회 논문집, Vol 17, pp 811-827.
   
  • 조규동, 김광래, 이경윤, 구자용 (2009). "신용평점에서 성김화에 대한 스플라인 방법과 대화식 그룹핑의 비교," 자료분석학회, Vol 11, pp 2579-2590.
   
  • 최병정, 채윤석, 최우영, 박창이, 구자용. (2008) "정규 혼합분포를 이용한 준지도 학습," 응용통계연구, 제 21권 5호, 825-833.
   
  • 송석헌, 김경희, 박창이, 구자용 (2007), "붓스트랩 방법을 활용한 SVM 기반 유전자 선택 기법," 응용통계연구, 제 20권 3호, 531-540.
   
  • Lee, S., Park, C., Jhun, M., and Koo, J.-Y. (2007), "Support vector machine using K-means clustering," Journal of Korean Statistical Society, 36, 175-182.
   
  • 구자용, 최대우, 최민성 (2005), "스플라인을 이용한 신용 평점화," 응용통계연구, 제 18권 3호, 543-553.
   
  • 최대우, 구자용, 최용석. (2004), "배경자료를 이용한 나무구조의 군집분석," 응용통계연구, 제 17권, 535-545.
   
  • Kim, W.-C., and Koo, J.-Y. (2002), "Inhomogeneous Poisson intensity estimation via information projections onto wavelet subspaces," Journal of the Korean Statistical Society, 31, 343-357.
   
  • 구자용, 박헌진, 최대우. (2000), "데이터 마이닝에서의 폴리클라스," 응용통계연구, 제 13권, 489-503.
   
  • Kim, W.-C., and Koo, J.-Y. (1999), "Wavelet estimation of regression function with errors in variables," The Korean Communications of Statistics, 6, 849-859.
   
  • 정한영, 이기원, 구자용. (1994), "최소카이제곱추정과 붓스트랩," 응용통계연구, 제 7권, 269-277.
   
  • Koo, J.-Y. (1992), "Optimal rates of convergence in tensor Sobolev space regression," Journal of the Korea Statistical Society, 21, 153-166.
   
  • Koo, J.-Y. (1991), "Discssion on "Advances in data driven bandwidth selection," Journal of the Korean Statistical Society, 20, 16-28.
   
  • Koo, J.-Y. (1990), "Optimal rates of convergence for tensor spline regression estimators," Journal of the Korean Statistical Society, 19, 105-112.
   
  국내 학술회의 Proceeding
   
  Stone, C. J., and Koo, J.-Y. (1986), "Additive splines in statistics. Proceedings of American Statistical Association," Statistical Computing Section, 45-48.