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ORCIDJohan Lim
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2020 – today
- 2024
[j24]Seongoh Park, Joungyoun Kim, Xinlei Wang, Johan Lim:
Variable selection in Bayesian multiple instance regression using shotgun stochastic search. Comput. Stat. Data Anal. 196: 107954 (2024)- 2023
- [j23]Seungkyu Kim, Seongoh Park, Johan Lim, Sang Han Lee:
Robust tests for scatter separability beyond Gaussianity. Comput. Stat. Data Anal. 179: 107633 (2023)
2010 – 2019
- 2019
- [j22]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): 807-818 (2019) - [j21]Seongoh Park, Johan Lim, Xinlei Wang, Sanghan Lee:
Permutation based testing on covariance separability. Comput. Stat. 34(2): 865-883 (2019) - [j20]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: 234-249 (2019) - 2018
- [j19]Joungyoun Kim, Donghyeon Yu, Johan Lim, Joong-Ho Won:
A peeling algorithm for multiple testing on a random field. Comput. Stat. 33(1): 503-525 (2018) - [j18]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): 203-226 (2018) - [c5]Seung-Jean Kim, Johan Lim, Joong-Ho Won:
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization. AISTATS 2018: 1495-1504 - 2017
- [j17]Donghyeon Yu, Johan Lim, Xinlei Wang, Faming Liang, Guanghua Xiao:
Enhanced construction of gene regulatory networks using hub gene information. BMC Bioinform. 18(1): 186:1-186:20 (2017) - 2015
- [j16]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): 107-129 (2015) - 2014
- [j15]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): 1187-1205 (2014) - 2012
- [j14]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): 510-521 (2012) - [j13]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): 4421-4432 (2012) - [j12]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): 1397-1410 (2012) - [j11]Johan Lim, Joong-Ho Won:
ROC convex hull and nonparametric maximum likelihood estimation. Mach. Learn. 88(3): 433-444 (2012) - 2011
- [j10]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: 209 (2011) - [j9]Woojoo Lee, Johan Lim, Youngjo Lee, Joan del Castillo:
The hierarchical-likelihood approach to autoregressive stochastic volatility models. Comput. Stat. Data Anal. 55(1): 248-260 (2011) - 2010
- [j8]Johan Lim, Erning Li, Shin-Jae Lee:
Likelihood ratio tests of correlated multivariate samples. J. Multivar. Anal. 101(3): 541-554 (2010)
2000 – 2009
- 2009
- [j7]Johan Lim, Xinlei Wang, Wanseok Choi:
Maximum likelihood estimation of ordered multinomial probabilities by geometric programming. Comput. Stat. Data Anal. 53(4): 889-893 (2009) - [j6]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): 692-702 (2009) - [j5]Johan Lim, Kyungsuk Pyun:
Cost-Effective Hidden Markov Model-Based Image Segmentation. IEEE Signal Process. Lett. 16(3): 172-175 (2009) - [j4]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): 1385-1394 (2009) - 2008
- [c4]Kyungsuk Pyun, Johan Lim, Robert M. Gray:
A covariance adjustment method in compressed domain for noisy image segmentation. ICIP 2008: 2268-2271 - 2007
- [j3]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): 3679-3688 (2007) - [j2]Kyungsuk Pyun, Johan Lim, Chee Sun Won, Robert M. Gray:
Image Segmentation Using Hidden Markov Gauss Mixture Models. IEEE Trans. Image Process. 16(7): 1902-1911 (2007) - 2006
- [j1]Johan Lim:
Permutation procedures with censored data. Comput. Stat. Data Anal. 50(2): 332-345 (2006) - [c3]Seung-Jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd, Johan Lim:
Pareto optimal linear classification. ICML 2006: 473-480 - 2002
- [c2]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: 785-788 - [c1]Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray:
Texture classification based on multiple Gauss mixture vector quantizers. ICME (2) 2002: 501-504
Coauthor Index
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