Johan Lim

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 9

Top Topics

Regression Model

Maximum Likelihood Estimator

Multiple Instance

Top Venues

Comput. Stat. Data Anal.

Stat. Anal. Data Min.

Publications

Seongoh Park, Joungyoun Kim, Xinlei Wang, Johan Lim
Variable selection in Bayesian multiple instance regression using shotgun stochastic search. Comput. Stat. Data Anal. 196 (2024)
Seungkyu Kim, Seongoh Park, Johan Lim, Sang Han Lee
Robust tests for scatter separability beyond Gaussianity. Comput. Stat. Data Anal. 179 (2023)
Seongoh Park, Johan Lim, Xinlei Wang, Sanghan Lee
Permutation based testing on covariance separability. Comput. Stat. 34 (2) (2019)
Young-Geun Choi, Johan Lim, Anindya Roy, Junyong Park
Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage. J. Multivar. Anal. 171 (2019)
W. Son, Y. Kim, Johan Lim, H.-C. Kuo
A general algorithm for non-parametric maximum likelihood estimator of stochastically ordered survival functions from case 2 interval-censored data. Commun. Stat. Simul. Comput. 48 (3) (2019)
Donghyeon Yu, Sang Han Lee, Johan Lim, Guanghua Xiao, Richard Cameron Craddock, Bharat B. Biswal
Fused lasso regression for identifying differential correlations in brain connectome graphs. Stat. Anal. Data Min. 11 (5) (2018)
Seung-Jean Kim, Johan Lim, Joong-Ho Won
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization. AISTATS (2018)
Joungyoun Kim, Donghyeon Yu, Johan Lim, Joong-Ho Won
A peeling algorithm for multiple testing on a random field. Comput. Stat. 33 (1) (2018)
Donghyeon Yu, Johan Lim, Xinlei Wang, Faming Liang, Guanghua Xiao
Enhanced construction of gene regulatory networks using hub gene information. BMC Bioinform. 18 (1) (2017)
Xinlei Wang, Johan Lim, Seung-Jean Kim, Kyu S. Hahn
Estimating cell probabilities in contingency tables with constraints on marginals/conditionals by geometric programming with applications. Comput. Stat. 30 (1) (2015)
Chi Tim Ng, Johan Lim, Kyeong Eun Lee, Donghyeon Yu, Sujung Choi
A fast algorithm to sample the number of vertexes and the area of the random convex hull on the unit square. Comput. Stat. 29 (5) (2014)
Donghyeon Yu, Johan Lim, Feng Liang, Kyunga Kim, Byung Soo Kim, Woncheol Jang
Permutation test for incomplete paired data with application to cDNA microarray data. Comput. Stat. Data Anal. 56 (3) (2012)
Johan Lim, Kiseop Lee, Donghyeon Yu, Haiyan Liu, Michael Sherman
Parameter estimation in the spatial auto-logistic model with working independent subblocks. Comput. Stat. Data Anal. 56 (12) (2012)
Johan Lim, Woojoo Lee, Sin-Ho Jung, Kyeong Eun Lee, Sungcheol Yun
A Regression Model for the AUC of Clustered Ordinal Test Results and Working Independent Optimal Weights. Commun. Stat. Simul. Comput. 41 (8) (2012)
Johan Lim, Joong-Ho Won
ROC convex hull and nonparametric maximum likelihood estimation. Mach. Learn. 88 (3) (2012)
Insuk Sohn, Kouros Owzar, Johan Lim, Stephen L. George, Stephanie MacKey Cushman, Sin-Ho Jung
Multiple Testing for Gene Sets from Microarray Experiments. BMC Bioinform. 12 (2011)
Woojoo Lee, Johan Lim, Youngjo Lee, Joan del Castillo
The hierarchical-likelihood approach to autoregressive stochastic volatility models. Comput. Stat. Data Anal. 55 (1) (2011)
Johan Lim, Erning Li, Shin-Jae Lee
Likelihood ratio tests of correlated multivariate samples. J. Multivar. Anal. 101 (3) (2010)
Johan Lim, Kyungsuk Pyun
Cost-Effective Hidden Markov Model-Based Image Segmentation. IEEE Signal Process. Lett. 16 (3) (2009)
Johan Lim, Xinlei Wang, Wanseok Choi
Maximum likelihood estimation of ordered multinomial probabilities by geometric programming. Comput. Stat. Data Anal. 53 (4) (2009)
Kyungsuk Pyun, Johan Lim, Robert M. Gray
A Robust Hidden Markov Gauss Mixture Vector Quantizer for a Noisy Source. IEEE Trans. Image Process. 18 (7) (2009)
Woncheol Jang, Johan Lim
A Numerical Study of PQL Estimation Biases in Generalized Linear Mixed Models Under Heterogeneity of Random Effects. Commun. Stat. Simul. Comput. 38 (4) (2009)
Kyungsuk Pyun, Johan Lim, Robert M. Gray
A covariance adjustment method in compressed domain for noisy image segmentation. ICIP (2008)
Kyungsuk Pyun, Johan Lim, Chee Sun Won, Robert M. Gray
Image Segmentation Using Hidden Markov Gauss Mixture Models. IEEE Trans. Image Process. 16 (7) (2007)
Johan Lim, Xinlei Wang, Michael Sherman
An adjustment for edge effects using an augmented neighborhood model in the spatial auto-logistic model. Comput. Stat. Data Anal. 51 (8) (2007)
Seung-Jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd, Johan Lim
Pareto optimal linear classification. ICML (2006)
Johan Lim
Permutation procedures with censored data. Comput. Stat. Data Anal. 50 (2) (2006)
Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray
Robust image classification based on a non-causal hidden Markov Gauss mixture model. ICIP (3) (2002)
Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray
Texture classification based on multiple Gauss mixture vector quantizers. ICME (2) (2002)