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I am a statistician working at Department of Statistics, Seoul National University from 2008. I am a member of MV Stat. Group at SNU. Before join SNU, I worked at Texas A&M University (2003-06) and Yonsei Univeristy (2006-07). Here is my resume.
Research
Contact Office: Rm 434 at Bldg. 25.Email: "johanlim at snu.ac.kr" or "yohanlim at gmail.com" Phone: (02) 880-2625 Fax: (02) 883-6144.
Teaching (2024-Spring)
Selected Papers (complete list) Hidden Variable Models and Their Applications. (2003) Ph.D. Dissertation, Department of Statistics , Stanford University. (Advisors : Prof. Dembo and Prof. Lai) 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. Forming post-strata via Bayesian treed capture-recapture model. (2006) with Wang, X. and Stokes, L. Biometrika , 93, 861-876. A nonparametric mean estimator for judgment post-stratified data (2008) with X. Wang and L. Stokes. Biometrics , 64, 355-363. 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 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 (2015). with Yu. D. et al. JCGS, 24(1), 121-153. Asymptotically efficient parameter estimation in hidden Markov spatio-temporal random fields. (2015) with T.Lai. Statistica Sinica, 25, 403-425. Using ranked set sampling with clustered randomized designs for improved inference on treatment effects. (2016) with X. Wang and L. Stokes, JASA, 111, 1576-1590. Large-scale structured sparsity via parallel fused lasso on multiple GPU. (2017) with Lee,T. et al., JCGS, 26(4), 851-864. Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage. (2019) with Choi, Y-G. et al. JMVA,171, 234-249. Estimating high-dimensional covariance and precision matrices under general missing dependence (2021) with Park, S.O. and Wang, X. Electronic Journal of Statistics, 15 (2), 4868-4915 Multiple testing of one-sided hypotheses under general dependence (2023) with Cho, S-H et al. Bayesian multiple instance classification based on hierarchical probit regression. (2024) with Xiong. D., Park, S-O, Wang, X. et al. AOAS New scheme of empirical likelihood method for ranked set sampling: Applications to two one sample problems. (2024) with Ahn, S et al. l1-norm based Bayesian multivariate IRT model (2024) with Shin, S. and Park, J-H. Linear shrinkage convexification of penalized linear regression with missing data (2024) with Park, S-O et al.
Talks (complete list)
Links
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