Robust image classification based on a non-causal hidden Markov Gauss mixture model. - Kyungsuk Pyun; Chee Sun Won; Johan Lim; Robert M. Gray (ICIP (3), 2002)

Texture classification based on multiple Gauss mixture vector quantizers. - Kyungsuk Pyun; Chee Sun Won; Johan Lim; Robert M. Gray (ICME (2), 2002)

Pareto optimal linear classification. - Seung-Jean Kim; Alessandro Magnani; Sikandar Samar; Stephen P. Boyd; Johan Lim (ICML, 2006)

Permutation procedures with censored data. - Johan Lim (Comput. Stat. Data Anal., 2006)

An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model. - Johan Lim; Xinlei Wang 001; Michael Sherman (Comput. Stat. Data Anal., 2007)

Image Segmentation Using Hidden Markov Gauss Mixture Models. - Kyungsuk Pyun; Johan Lim; Chee Sun Won; Robert M. Gray (IEEE Trans. Image Process., 2007)

A covariance adjustment method in compressed domain for noisy image segmentation. - Kyungsuk Pyun; Johan Lim; Robert M. Gray (ICIP, 2008)

Maximum likelihood estimation of ordered multinomial probabilities by geometric programming. - Johan Lim; Xinlei Wang 001; Wanseok Choi (Comput. Stat. Data Anal., 2009)

A Numerical Study of PQL Estimation Biases in Generalized Linear Mixed Models Under Heterogeneity of Random Effects. - Woncheol Jang; Johan Lim (Commun. Stat. Simul. Comput., 2009)

Cost-Effective Hidden Markov Model-Based Image Segmentation. - Johan Lim; Kyungsuk Pyun (IEEE Signal Process. Lett., 2009)

A Robust Hidden Markov Gauss Mixture Vector Quantizer for a Noisy Source. - Kyungsuk Pyun; Johan Lim; Robert M. Gray (IEEE Trans. Image Process., 2009)

Likelihood ratio tests of correlated multivariate samples. - Johan Lim; Erning Li; Shin-Jae Lee (J. Multivar. Anal., 2010)

Multiple Testing for Gene Sets from Microarray Experiments. - Insuk Sohn; Kouros Owzar; Johan Lim; Stephen L. George; Stephanie MacKey Cushman; Sin-Ho Jung (BMC Bioinform., 2011)

The hierarchical-likelihood approach to autoregressive stochastic volatility models. - Woojoo Lee; Johan Lim; Youngjo Lee 001; Joan del Castillo (Comput. Stat. Data Anal., 2011)

Parameter estimation in the spatial auto-logistic model with working independent subblocks. - Johan Lim; Kiseop Lee; Donghyeon Yu; Haiyan Liu; Michael Sherman (Comput. Stat. Data Anal., 2012)

Permutation test for incomplete paired data with application to cDNA microarray data. - Donghyeon Yu; Johan Lim; Feng Liang; Kyunga Kim; Byung Soo Kim; Woncheol Jang (Comput. Stat. Data Anal., 2012)

A Regression Model for the AUC of Clustered Ordinal Test Results and Working Independent Optimal Weights. - Johan Lim; Woojoo Lee; Sin-Ho Jung; Kyeong Eun Lee; Sungcheol Yun (Commun. Stat. Simul. Comput., 2012)

ROC convex hull and nonparametric maximum likelihood estimation. - Johan Lim; Joong-Ho Won (Mach. Learn., 2012)

A fast algorithm to sample the number of vertexes and the area of the random convex hull on the unit square. - Chi Tim Ng; Johan Lim; Kyeong Eun Lee; Donghyeon Yu; Sujung Choi (Comput. Stat., 2014)

Estimating cell probabilities in contingency tables with constraints on marginals/conditionals by geometric programming with applications. - Xinlei Wang 001; Johan Lim; Seung-Jean Kim; Kyu S. Hahn (Comput. Stat., 2015)

Enhanced construction of gene regulatory networks using hub gene information. - Donghyeon Yu; Johan Lim; Xinlei Wang 001; Faming Liang; Guanghua Xiao (BMC Bioinform., 2017)

Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization. - Seung-Jean Kim; Johan Lim; Joong-Ho Won (AISTATS, 2018)

A peeling algorithm for multiple testing on a random field. - Joungyoun Kim; Donghyeon Yu; Johan Lim; Joong-Ho Won (Comput. Stat., 2018)

Fused lasso regression for identifying differential correlations in brain connectome graphs. - Donghyeon Yu; Sang Han Lee; Johan Lim; Guanghua Xiao; Richard Cameron Craddock; Bharat B. Biswal (Stat. Anal. Data Min., 2018)

A general algorithm for non-parametric maximum likelihood estimator of stochastically ordered survival functions from case 2 interval-censored data. - W. Son; Y. Kim; Johan Lim; H.-C. Kuo (Commun. Stat. Simul. Comput., 2019)

Permutation based testing on covariance separability. - Seongoh Park; Johan Lim; Xinlei Wang 001; Sanghan Lee (Comput. Stat., 2019)

Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage. - Young-Geun Choi; Johan Lim; Anindya Roy; Junyong Park 001 (J. Multivar. Anal., 2019)

Robust tests for scatter separability beyond Gaussianity. - Seungkyu Kim; Seongoh Park; Johan Lim; Sang Han Lee (Comput. Stat. Data Anal., 2023)

Variable selection in Bayesian multiple instance regression using shotgun stochastic search. - Seongoh Park; Joungyoun Kim; Xinlei Wang; Johan Lim (Comput. Stat. Data Anal., 2024)

Double truncation method for controlling local false discovery rate in case of spiky null. - Shinjune Kim; Youngjae Oh; Johan Lim; DoHwan Park; Erin M. Green; Mark L. Ramos; Jaesik Jeong (Comput. Stat., 2025)

Synthetic data generation method providing enhanced covariance matrix estimation. - Seungkyu Kim; Johan Lim; Donghyeon Yu (Comput. Stat., 2025)