Johan Lim

31 papers A* 1A 1B 1Journal 26Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Double truncation method for controlling local false discovery rate in case of spiky null.
Comput. Stat.
Shinjune Kim, Youngjae Oh, Johan Lim, DoHwan Park, Erin M. Green, Mark L. Ramos, Jaesik Jeong
2025 J jnl
Synthetic data generation method providing enhanced covariance matrix estimation.
Comput. Stat.
SeungKyu Kim, Johan Lim, Donghyeon Yu
2024 J jnl
Variable selection in Bayesian multiple instance regression using shotgun stochastic search.
Comput. Stat. Data Anal.
Seongoh Park, Joungyoun Kim, Xinlei Wang, Johan Lim
2023 J jnl
Robust tests for scatter separability beyond Gaussianity.
Comput. Stat. Data Anal.
SeungKyu Kim, Seongoh Park, Johan Lim, Sang Han Lee
2019 J jnl
A general algorithm for non-parametric maximum likelihood estimator of stochastically ordered survival functions from case 2 interval-censored data.
Commun. Stat. Simul. Comput.
Won Son, Y. Kim, Johan Lim, H.-C. Kuo
2019 J jnl
Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage.
J. Multivar. Anal.
Young-Geun Choi, Johan Lim, Anindya Roy, Junyong Park
2019 J jnl
Permutation based testing on covariance separability.
Comput. Stat.
Seongoh Park, Johan Lim, Xinlei Wang, Sanghan Lee
2018 J jnl
A peeling algorithm for multiple testing on a random field.
Comput. Stat.
Joungyoun Kim, Donghyeon Yu, Johan Lim, Joong-Ho Won
2018 J jnl
Fused lasso regression for identifying differential correlations in brain connectome graphs.
Stat. Anal. Data Min.
Donghyeon Yu, Sang Han Lee, Johan Lim, Guanghua Xiao, Richard Cameron Craddock, Bharat B. Biswal
2018 A conf
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization.
AISTATS
Seung-Jean Kim, Johan Lim, Joong-Ho Won
2017 J jnl
Enhanced construction of gene regulatory networks using hub gene information.
BMC Bioinform.
Donghyeon Yu, Johan Lim, Xinlei Wang, Faming Liang, Guanghua Xiao
2015 J jnl
Estimating cell probabilities in contingency tables with constraints on marginals/conditionals by geometric programming with applications.
Comput. Stat.
Xinlei Wang, Johan Lim, Seung-Jean Kim, Kyu S. Hahn
2014 J jnl
A fast algorithm to sample the number of vertexes and the area of the random convex hull on the unit square.
Comput. Stat.
Chi Tim Ng, Johan Lim, Kyeong Eun Lee, Donghyeon Yu, Sujung Choi
2012 J jnl
A Regression Model for the AUC of Clustered Ordinal Test Results and Working Independent Optimal Weights.
Commun. Stat. Simul. Comput.
Johan Lim, Woojoo Lee, Sin-Ho Jung, Kyeong Eun Lee, Sungcheol Yun
2012 J jnl
Parameter estimation in the spatial auto-logistic model with working independent subblocks.
Comput. Stat. Data Anal.
Johan Lim, Kiseop Lee, Donghyeon Yu, Haiyan Liu, Michael Sherman
2012 J jnl
Permutation test for incomplete paired data with application to cDNA microarray data.
Comput. Stat. Data Anal.
Donghyeon Yu, Johan Lim, Feng Liang, Kyunga Kim, Byung Soo Kim, Woncheol Jang
2012 J jnl
ROC convex hull and nonparametric maximum likelihood estimation.
Mach. Learn.
Johan Lim, Joong-Ho Won
2011 J jnl
Multiple Testing for Gene Sets from Microarray Experiments.
BMC Bioinform.
Insuk Sohn, Kouros Owzar, Johan Lim, Stephen L. George, Stephanie MacKey Cushman, Sin-Ho Jung
2011 J jnl
The hierarchical-likelihood approach to autoregressive stochastic volatility models.
Comput. Stat. Data Anal.
Woojoo Lee, Johan Lim, Youngjo Lee, Joan del Castillo
2010 J jnl
Likelihood ratio tests of correlated multivariate samples.
J. Multivar. Anal.
Johan Lim, Erning Li, Shin-Jae Lee
2009 J jnl
A Numerical Study of PQL Estimation Biases in Generalized Linear Mixed Models Under Heterogeneity of Random Effects.
Commun. Stat. Simul. Comput.
Woncheol Jang, Johan Lim
2009 J jnl
A Robust Hidden Markov Gauss Mixture Vector Quantizer for a Noisy Source.
IEEE Trans. Image Process.
Kyungsuk Pyun, Johan Lim, Robert M. Gray
2009 J jnl
Cost-Effective Hidden Markov Model-Based Image Segmentation.
IEEE Signal Process. Lett.
Johan Lim, Kyungsuk Pyun
2009 J jnl
Maximum likelihood estimation of ordered multinomial probabilities by geometric programming.
Comput. Stat. Data Anal.
Johan Lim, Xinlei Wang, Wanseok Choi
2008 B conf
A covariance adjustment method in compressed domain for noisy image segmentation.
ICIP
Kyungsuk Pyun, Johan Lim, Robert M. Gray
2007 J jnl
An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model.
Comput. Stat. Data Anal.
Johan Lim, Xinlei Wang, Michael Sherman
2007 J jnl
Image Segmentation Using Hidden Markov Gauss Mixture Models.
IEEE Trans. Image Process.
Kyungsuk Pyun, Johan Lim, Chee Sun Won, Robert M. Gray
2006 A* conf
Pareto optimal linear classification.
ICML
Seung-Jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd, Johan Lim
2006 J jnl
Permutation procedures with censored data.
Comput. Stat. Data Anal.
Johan Lim
2002 — conf
Robust image classification based on a non-causal hidden Markov Gauss mixture model.
ICIP (3)
Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray
2002 — conf
Texture classification based on multiple Gauss mixture vector quantizers.
ICME (2)
Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray