Johan Lim

According to our database, Johan Lim authored at least 28 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust tests for scatter separability beyond Gaussianity.

Seungkyu Kim, Seongoh Park, Johan Lim, Sang Han Lee

Comput. Stat. Data Anal., 2023

2019

Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage.

Young-Geun Choi, Johan Lim, Anindya Roy, Junyong Park

J. Multivar. Anal., 2019

Permutation based testing on covariance separability.

Seongoh Park, Johan Lim, Xinlei Wang, Sanghan Lee

Comput. Stat., 2019

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

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 peeling algorithm for multiple testing on a random field.

Joungyoun Kim, Donghyeon Yu, Johan Lim, Joong-Ho Won

Comput. Stat., 2018

Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization.

Seung-Jean Kim, Johan Lim, Joong-Ho Won

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Enhanced construction of gene regulatory networks using hub gene information.

Donghyeon Yu, Johan Lim, Xinlei Wang, Faming Liang, Guanghua Xiao

BMC Bioinform., 2017

2015

Estimating cell probabilities in contingency tables with constraints on marginals/conditionals by geometric programming with applications.

Xinlei Wang, Johan Lim, Seung-Jean Kim, Kyu S. Hahn

Comput. Stat., 2015

2014

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

2012

ROC convex hull and nonparametric maximum likelihood estimation.

Johan Lim, Joong-Ho Won

Mach. Learn., 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

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

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

2011

The hierarchical-likelihood approach to autoregressive stochastic volatility models.

Woojoo Lee, Johan Lim, Youngjo Lee, Joan del Castillo

Comput. Stat. Data Anal., 2011

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

2010

Likelihood ratio tests of correlated multivariate samples.

Johan Lim, Erning Li, Shin-Jae Lee

J. Multivar. Anal., 2010

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

Cost-Effective Hidden Markov Model-Based Image Segmentation.

Johan Lim, Kyungsuk Pyun

IEEE Signal Process. Lett., 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

Maximum likelihood estimation of ordered multinomial probabilities by geometric programming.

Johan Lim, Xinlei Wang, Wanseok Choi

Comput. Stat. Data Anal., 2009

2008

A covariance adjustment method in compressed domain for noisy image segmentation.

Kyungsuk Pyun, Johan Lim, Robert M. Gray

Proceedings of the International Conference on Image Processing, 2008

2007

Image Segmentation Using Hidden Markov Gauss Mixture Models.

Kyungsuk Pyun, Johan Lim, Chee Sun Won, Robert M. Gray

IEEE Trans. Image Process., 2007

An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model.

Johan Lim, Xinlei Wang, Michael Sherman

Comput. Stat. Data Anal., 2007

2006

Permutation procedures with censored data.

Johan Lim

Comput. Stat. Data Anal., 2006

Pareto optimal linear classification.

Seung-Jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd, Johan Lim

Proceedings of the Machine Learning, 2006

2002

Texture classification based on multiple Gauss mixture vector quantizers.

Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray

Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Robust image classification based on a non-causal hidden Markov Gauss mixture model.

Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray

Proceedings of the 2002 International Conference on Image Processing, 2002