Johan Lim

发表

Classification of spectral data using fused lasso logistic regression

Donghyeon Yu, S. Lee, Won Jun Lee, 2015 .

Condition‐number‐regularized covariance estimation

Seung-Jean Kim, Joong-Ho Won, Johan Lim, 2013, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Cox model with interval‐censored covariate in cohort studies

R. Sacco, M. Elkind, Johan Lim, 2018, Biometrical journal. Biometrische Zeitschrift.

A self-consistent estimator for interval-valued data

Min-Jeong Kwak, Johan Lim, Xinlei Wang, 2020 .

Distribution-free tests of mean vectors and covariance matrices for multivariate paired data

Kyunga Kim, Johan Lim, Erning Li, 2012 .

Clustering of longitudinal interval-valued data via mixture distribution under covariance separability

Min-Jeong Kwak, Johan Lim, H. Choi, 2019, Journal of applied statistics.

Phase II monitoring of changes in mean from high‐dimensional data

Johan Lim, Sungim Lee, 2017 .

Self-semi-supervised clustering for large scale data with massive null group

Hyungwon Choi, Johan Lim, Soohyun Ahn, 2020, Journal of the Korean Statistical Society.

Cluster analysis of tooth size in subjects with normal occlusion.

Johan Lim, Shin-Jae Lee, Sug-Joon Ahn, 2007, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.

Application of fused lasso logistic regression to the study of corpus callosum thickness in early Alzheimer's disease

Babak A. Ardekani, Johan Lim, Donghyeon Yu, 2014, Journal of Neuroscience Methods.

An Alternative Model of Type A Dependence in a Gene Set of Correlated Genes

Johan Lim, Jayeon Kim, Byung Soo Kim, 2010, Statistical applications in genetics and molecular biology.

Hyper-Parameter in Hidden Markov Random Field

Donghyeon Yu, Johan Lim, Kyung-Suk Pyu, 2011 .

ASYMPTOTICALLY EFFICIENT PARAMETER ESTIMATION IN HIDDEN MARKOV SPATIO-TEMPORAL RANDOM FIELDS

T. Lai, Johan Lim, 2015 .

Large-Scale Structured Sparsity via Parallel Fused Lasso on Multiple GPUs

Joong-Ho Won, Sungroh Yoon, Johan Lim, 2017 .

Empirical Null Estimation using Discrete Mixture Distributions and its Application to Protein Domain Data

Maricel Kann, Thomas A. Peterson, Johan Lim, 2016, 1608.07204.

Statistical Applications in Genetics and Molecular Biology Detection of Differentially Expressed Gene Sets in a Partially Paired Microarray Data Set

Kyunga Kim, Donghyeon Yu, Johan Lim, 2012 .

Bootstrap method to evaluate tightness of clusters with application to the Korean standard occlusion study

Johan Lim, Shin-Jae Lee, Sungim Lee, 2014 .

Regularized LRT for large scale covariance matrices: One sample problem

Johan Lim, Y. Choi, C. Ng, 2015, 1502.00384.

Two sample test for high-dimensional partially paired data

I. Sohn, Sin-Ho Jung, Johan Lim, 2015 .

Testing stochastic orders in tails of contingency tables

Kyu S. Hahn, Johan Lim, C. Ng, 2011 .

Test for Uniformity of Exchangeable Random Variables on the Circle

Won Jun Lee, Johan Lim, Younggeun Choi, 2020, Journal of the Korean Statistical Society.

Permutation based testing on covariance separability

Seongoh Park, Johan Lim, Xinlei Wang, 2018, Comput. Stat..

Non-asymptotic rate for high-dimensional covariance estimation with non-independent missing observations

Johan Lim, Seongoh Park, 2019, Statistics & Probability Letters.

Estimation of the Entropy Functional from Dependent Samples

Johan Lim, 2007 .

A note on independence assumption on binding sites in biological sequence analysis

Johan Lim, K. Lee, 2011 .

Kernel Density Estimator From Ranked Set Samples

Johan Lim, Lynne Stokes, Sangun Park, 2014 .

Detection of multiple change points using penalized least square methods: a comparative study between ℓ0and ℓ1penalty

Donghyeon Yu, Johan Lim, Won Son, 2016 .

Empirical likelihood inference for area under the receiver operating characteristic curve using ranked set samples

Johan Lim, Xinlei Wang, Chul Moon, 2022, Pharmaceutical statistics.

Detection of Pancreatic Cancer Biomarkers Using Mass Spectrometry

Johan Lim, Soohyun Ahn, B. Yoo, 2014, Cancer informatics.

NONPARAMETRIC MAXIMUM LIKELIHOOD ESTIMATION OF A CONCAVE RECEIVER OPERATING CHARACTERISTIC CURVE VIA GEOMETRIC PROGRAMMING

Johan Lim, K. Lee, 2011 .

High-dimensional Markowitz portfolio optimization problem: empirical comparison of covariance matrix estimators

Johan Lim, Y. Choi, Sujung Choi, 2019, Journal of Statistical Computation and Simulation.

Truncated rank correlation (TRC) as a robust measure of test-retest reliability in mass spectrometry data

Hyungwon Choi, Donghyeon Yu, Johan Lim, 2019, Statistical applications in genetics and molecular biology.

Independence and maximal volume of d-dimensional random convex hull

Johan Lim, Seongoh Park, Won Son, 2018 .

Estimation of Liquidity Cost in Financial Markets

Kiseop Lee, Johan Lim, Hyun-Seok Song, 2008 .

Regression with Partially Observed Ranks on a Covariate: Distribution-Guided Scores for Ranks

Johan Lim, Y. Choi, DoHwan Park, 2017, 1701.01097.

On unbalanced group sizes in cluster randomized designs using balanced ranked set sampling

Johan Lim, Xinlei Wang, Soohyun Ahn, 2017 .

Two-sample tests for interval-valued data

Min-Jeong Kwak, Donghyeon Yu, Johan Lim, 2020 .

Covariate‐dependent control limits for the detection of abnormal price changes in scanner data

Johan Lim, Sungim Lee, Sangkyun Kim, 2019, Applied Stochastic Models in Business and Industry.

Testing independence of bivariate censored data using random walk on restricted permutation graph

Donghyeon Yu, Johan Lim, Seonghun Cho, 2022, Journal of the Korean Statistical Society.

Accuracy of regularized D-rule for binary classification

Johan Lim, Xinlei Wang, Won Son, 2018, Journal of the Korean Statistical Society.

Semi-parametric hidden Markov model for large-scale multiple testing under dependency

Jong Soo Lee, Johan Lim, Joungyoun Kim, 2022, Statistical Modelling.

On continuity correction for RSS-structured cluster randomized designs with binary outcomes

Johan Lim, Soohyun Ahn, Xinlei Wang, 2022, METRON.

Online estimation of the case fatality rate using a run‐off triangle data approach: An application to the Korean MERS outbreak in 2015

Johan Lim, Sungim Lee, 2019, Statistics in medicine.

Prediction in run-off triangle using Bayesian linear model

Kyu S. Hahn, Johan Lim, K. Lee, 2009 .

Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea

Donghyeon Yu, Johan Lim, Won Son, 2022, International statistical review = Revue internationale de statistique.

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

Kyu S. Hahn, Johan Lim, Xinlei Wang, 2014, Computational Statistics.

A peeling algorithm for multiple testing on a random field

Joong-Ho Won, Donghyeon Yu, Johan Lim, 2017, Computational Statistics.

Fused lasso regression for identifying differential correlations in brain connectome graphs

Bharat B. Biswal, Guanghua Xiao, Johan Lim, 2018, Stat. Anal. Data Min..

Statistical completion of a partially identified graph with applications for the estimation of gene regulatory networks.

Guanghua Xiao, Johan Lim, Donghyeon Yu, 2015, Biostatistics.

Enhanced construction of gene regulatory networks using hub gene information

F. Liang, Donghyeon Yu, Johan Lim, 2017, BMC Bioinformatics.

Modified path algorithm of fused Lasso signal approximator for consistent recovery of change points

Johan Lim, W. Son, 2019, Journal of Statistical Planning and Inference.

Bayesian multiple instance regression for modeling immunogenic neoantigens

Tao Wang, Guanghua Xiao, Xinlei Wang, 2020, Statistical methods in medical research.

An overview of heavy-tail extensions of multivariate Gaussian distribution and their relations

Johan Lim, Seongoh Park, 2022, Journal of applied statistics.

Bayesian variable selection with strong heredity constraints

Yongdai Kim, Johan Lim, Joungyoun Kim, 2018, Journal of the Korean Statistical Society.

Some properties of generalized fused lasso and its applications to high dimensional data

Woncheol Jang, Ji Meng Loh, Johan Lim, 2015 .

High-Dimensional Fused Lasso Regression Using Majorization–Minimization and Parallel Processing

Sungroh Yoon, Joong-Ho Won, Johan Lim, 2013, 1306.1970.

Multiple testing for gene sets from microarray experiments

Insuk Sohn, Kouros Owzar, Sin-Ho Jung, 2011, BMC Bioinformatics.

Regression shrinkage and grouping of highly correlated predictors with HORSES

Woncheol Jang, Ji Meng Loh, Johan Lim, 2013, 1302.0256.

Predicting mating flights through meteorological cues using multi‐scale logistic regression

Suojin Wang, Johan Lim, Myungsuk Kim, 2009 .

Estimating monotone convex functions via sequential shape modification

Seung-Jean Kim, Johan Lim, Yongsung Joo, 2009 .

Nonparametric Inference Estimation of the Entropy Functional fromDependent Samples

Johan Lim, 2007 .

Order‐Preserving Dimension Reduction Procedure for the Dominance of Two Mean Curves with Application to Tidal Volume Curves

M. Vannucci, E. Petkova, Johan Lim, 2008, Biometrics.

Testing independence of bivariate interval‐censored data using modified Kendall's tau statistic

Johan Lim, DoHwan Park, Yuneung Kim, 2015, Biometrical journal. Biometrische Zeitschrift.

Bayesian estimation and testing in random‐effects meta‐analysis of rare binary events allowing for flexible group variability

Johan Lim, Xinlei Wang, Jackson Barth, 2023, Statistics in medicine.

A Numerical Study of PQL Estimation Biases in Generalized Linear Mixed Models Under Heterogeneity of Random Effects

Woncheol Jang, Johan Lim, Johan Lim, 2009, Commun. Stat. Simul. Comput..

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

Seung-Jean Kim, Johan Lim, Xinlei Wang, 2015, Comput. Stat..

ROC convex hull and nonparametric maximum likelihood estimation

Joong-Ho Won, Johan Lim, Joong-Ho Won, 2012, Machine Learning.

Forming post-strata via Bayesian treed capture-recapture models

S. Stokes, Johan Lim, Xinlei Wang, 2006 .

Concomitants of Multivariate Order Statistics With Application to Judgment Poststratification

Lynne Stokes, Johan Lim, Xinlei Wang, 2006 .

Empirical Likelihood Inference for Area under the ROC Curve using Ranked Set Samples

Johan Lim, Xinlei Wang, Chul Moon, 2020, 2010.12185.

Analyzing Survival Data as Binary Outcomes with Logistic Regression

Kyu S. Hahn, Kun-Woo Park, Johan Lim, 2010 .

A Regression Model for the AUC of Clustered Ordinal Test Results and Working Independent Optimal Weights

Sin-Ho Jung, Johan Lim, Kyeong Eun Lee, 2012, Commun. Stat. Simul. Comput..

Using Ranked Set Sampling With Cluster Randomized Designs for Improved Inference on Treatment Effects

Lynne Stokes, Johan Lim, Xinlei Wang, 2016 .

Method to classify dental arch forms.

Johan Lim, Shin-Jae Lee, Sungim Lee, 2011, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.

A frequentist’s resolution of the exchange paradox

Johan Lim, Seonghun Cho, 2020 .

Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy

Babak A. Ardekani, Johan Lim, Donghyeon Yu, 2016, Alzheimer's & dementia.

Empirical null estimation using zero‐inflated discrete mixture distributions and its application to protein domain data

Maricel Kann, Thomas A. Peterson, Johan Lim, 2018, Biometrics.

Finding standard dental arch forms from a nationwide standard occlusion study using a Gaussian functional mixture model

Joong-Ho Won, Johan Lim, Shin-Jae Lee, 2015 .

A distribution‐free test of constant mean in linear mixed effects models

Seokho Lee, Sin-Ho Jung, Johan Lim, 2008, Statistics in medicine.

A Least Squares Method for Detecting Multiple Change Points in a Univariate Time Series

Hyungwon Choi, Johan Lim, Kyu S. Hahn, 2018 .