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현직교수

임요한 교수

Johan Lim

연구분야다변량통계
주소25-434
연락처880-2625
이메일johanlim@stats.snu.ac.kr
RESEARCH AREAS
(Large Scale) Multivariate Problems;
Order Related Statistical Inference; Hidden Markov Models
DEGREES

2003. 08

Ph.D. Statistics, Stanford University.(advisors : Prof. Amir Dembo and Prof. T. L. Lai)
BIOGRAPHY

2013.03 – present

Professor, Department of Statistics, Seoul National University
2008.03 – 2013.02
Associate Professor, Department of Statistics, Seoul National University
2006.03 – 2008 02
Assistant Professor, Department of Applied Statistics, Yonsei University
2003.08 – 2006.02
Assistant Professor, Department of Statistics, Texas A&M University
LATEST ACHIEVEMENTS
Regularizing sample estimates of covariance matrices by condition number. (2013) with Won, J.H., Kim, S.J., and Rajaratnam, B. JRSS-B, 75, 427-450.
High-dimensional Fused Lasso Regression using Majorization-Minimization and Parallel Processing (2014). with Yu. D. et al. To appear in JCGS.
Generalized Isotonized Mean Estimators for Judgment Post-stratification with Multiple Rankers (2015). with Chen, M. et al. To appear in JABES.
Asymptotically Efficient Parameter Estimation in Hidden Markov Spatio-Temporal Random Fields (2015). with Lai, T. To appear in Statistica Sinica.
SELECTED PUBLICATIONS
Hidden Variable Models and Their Applications. (2003) Ph.D. Dissertation, Department of Statistics , Stanford University. (Advisors : Prof. Dembo and Prof. Lai)
Testing Stochastic Processes: Stationarity, Independence, and Ergodicity. (2003) Techinical Report 2003-23, Statistics, Stanford Univeristy.
Concomitant of Multivariate order statistics with application to judgment post-stratification. (2006) with Wang, X. and Stokes, L. and Chen, M. JASA , 101, 1693-1704.
Optimal Trade-off Analysis with Linear Classifiers. (2006) with Kim, SJ. et al. ICML-2006 , 473-480.
Forming post-strata via Bayesian treed capture-recapture model. (2006) with Wang, X. and Stokes, L. Biometrika , 93, 861-876.
Testing independent sparse heterogeneous mixtures. (2006) SPL, 74, 205-211.
Multi-class image segmentation using hidden Markov Gauss mixture models. (2007) with Pyun, KS. et al. IEEE-TIP , 16, 1902-1911.
A nonparametric mean estimator for judgment post-stratified data (2008) with X. Wang and L. Stokes. Biometrics , 64, 355-363.
Order preserving dimension reduction to test the dominance between two high dimensional mean curves with application to testing tidal volume curves. (2008) with Lee SH, Vannucci, M. et al. Biometrics , 64, 931-939.
Estimation of stochastically ordered survival functions by geometric programming. (2009) with Kim, SJ and Wang, X. JCGS, 18(4), 978-994. Supplementary Materials
Covariance Adjustemnt in Gaussian Mixture Compressed Domain for Noisy Image Segmentation. (2009) with Pyun K.S. and Gray, R.M. IEEE-TIP., 18, 1385-1394
Isotonized estimation of cumulative distributionfunctions from JPS Data with empty strata. (2012) with Wang, X. and Wang, K. Biometrics, 68(1),194-202
Estimation of convex ROC curve: ROC convex hull, conditional, and unconditional maximum likelihood estimator. (2012) with Won, J-H. Machine Learning 88(3), 433-444.
Regularizing sample estimates of covariance matrices by condition number. (2013) with Won, J.H., Kim, S.J., and Rajaratnam, B. JRSS-B, 75, 427-450.
High-dimensional Fused Lasso Regression using Majorization-Minimization and Parallel Processing (2013). with Yu. D. et al. To appear in JCGS
Generalized Isotonized Mean Estimators for Judgment Post-stratification with Multiple Rankers (2015). with Chen, M. et al. To appear in JABES.
Asymptotically Efficient Parameter Estimation in Hidden Markov Spatio-Temporal Random Fields (2015). with Lai, T. To appear in Statistica Sinica.
AWARDS
2011
Research Award, College of Natural Science, Seoul National University
2007
Science and Technology Excellent Paper Award, The Korea Federation of Science and Technology Societies