Korea University Department of Statistics

1985 ~ 1988 : Univ. of Michigan at Ann Arbor(tenure track Asst. Professor)  
Invited Speaker(Institute of Mathematical Statistics Meeting, Stony Brook, New York, U.S.A., 1985) 
Lilly Award Fellow at the University of Michigan(1986) 
US NSF Postdoctoral Associate(1987~88) 

1988 ~ present : Korea University, Dept. of Statistics (Professor) 
Invited Speaker(Global convention of ethnic Korean scientists and engineers, 1993) 
Invited Speaker(Asian Conference on Statistical Computing : 1993, Beijing, China) 
Chair. Korea Univ. Dept. of Statistics(1993~94, 2006.8~08.7) 
Member of Natural Science Subcommittee, Korea Research Foundation(1989~90, 1993~94, 2001) 
Council Member of International Biometric Society(1994~97) 
Visiting professor at UC Berkeley (supported by KNSF, 1994.8~95.7) 
Director, Institute of Statistics at Korea Univ.(1995~99) 
Elected member of ISI(1995~2010) 
Invited Speaker(Second World Conference on Statistical Computing(1997) Pasadena, U.S.A.) 

Member of Statistical Committee, NSO(1997~2009) 
Editor, JKSS(1998~99) 
Visiting professor at Heidelberg Univ. (supported by KNSF & DFG, 1999/6~8) 
Member of executive committee, 53^rd ISI(2001) 
Associate Editor, CSDA(2001~07) 

Member of Board of Directors, Korean Statistical Society (2004.1~05.12)

Chair, Special committee of National Statistical System Reinforcement(2005~07)
Awarded Service Medal, Government of Korea (2006.9.1) 
Member of National Statistical Committee and Chair of Subcommittee of Policy & Planning(2009~13)
Dean, College of Political Science and Economics, Korea Univ.(2010.7~2012.6) 
Chair, Statistical Consulting Committee, Bank of Korea (2011~ )
Dean, Graduate School, Korea University (2013.9~2015.8)

International Academic Journals

• Sungwan Bang, HyungJun Cho, and Myoungshic Jhun (2016). Adaptive Lasso Penalized Censored Composite Quantile Regression. accepted for publication in International Journal of Data Mining and Bioinformatics

• Jongkyeong Kang, Sungwan Bang, and Myoungshic Jhun (2016/02). Hierarchically Penalized Quantile Regression.  Journal of Statistical Computation and Simulation. Vol86, No2, 340-356

• Sungwan Bang, Soo-Heang Eo, Yong Mee Cho, Myoungshic Jhun, and HyungJun Cho (2016/01). Non-crossing weighted kernel quantile regression with right censored data. Lifetime Data Analysis 22, 100-121

• Sungwan Bang, HyungJun Cho, and Myoungshic Jhun (2016/01). Simultaneous estimation for non-crossing multiple quantile regression with right censored data.  Statistics and Computing. 26(1), pp 131-147

• Sungwan Bang & Myoungshic Jhun (2014). Weighted Support Vector Machine Using K-Means Clustering. Communications in Statistic: Simulation and Computation. 43(10), 2307-2324

• Jongkyeong Kang, Sungwan Bang and Myoungshic Jhun (2014). Simultaneous Confidence Intervals for the Ratios of the Marginal Means of Multivariate Poisson Distribution. Comm. in Statistic: Simulation and Computation.  43(7), 1783-1796

• Sungwan Bang & Myoungshic Jhun (2014/2). Adaptive Sup-Norm Regularized Simultaneous Multiple Quantiles Regression. Statistics, Vol. 48, No. 1, 17–33

• Sooncheol Sohn, ByoungCheol Jung, and Myoungshic Jhun (2012/6). Permutatioin Tests Using Least Distance Estimator in the Multivariate Regression Model. Computational Statistics. Vol 27, Issue 2, 191-201

• Sungwan Bang & Myoungshic Jhun (2012). Simultaneous Estimation and Factor Selection in Quantile Regression via Adaptive Sup-Norm Regularization. Computational Statistics and Data Analysis, 56(12), 813-826

• Sungwan Bang, Ja-Yong Koo, and Myoungshic Jhun (2010/08). Support Vector Machine Using K-Spatial Medians Clustering and Recovery Process. Communications in Statistic: Simulation and Computation, 39(7), 1422-1434

• Yang-Jin Kim, HyungJun Cho, Jinheum Kim, and Myoungshic Jhun (2010). Median Regression Model with Interval Censored Data. Biometrical Journal, 52(2), 201-208.

• Ja-Yong Koo, Changyi Park, and Myoungshic Jhun (2009). Classification Spline Machine for Credit Scoring. JSCS, 79(5), 681-689.

• Myoungshic Jhun and Inkyung Choi (2009). Bootstrapping Least Distance Estimator in the Multivariate Regression Model. CSDA, 53(12), 4221-4227.

• Myoungshic Jhun and SeungJun Shin (2009). Bootstrapping Spatial Median for Location Problems. Communications in Statistic-Simulation and Computation, 38(10), 2123-2133.

• Yang-Jin Kim and Myoungshic Jhun (2008). Cure rate model with interval censored data. Statistics in Medicine, 27(1), 3-14.

• Yang-Jin Kim and Myoungshic Jhun (2008). Analysis of Recurrent Event Data with Incomplete Observation Gaps. Statistics in Medicine, 27(7), 1075-1085.

• Byoung Chul Jung, Myoungshic Jhun, and Sang Moon Han (2008). Score Tests for Overdispersionin the Bivariate Negative Binomial Models. JSCS, 79(1), 11-24.

• Myoungshic Jhun, Hyeong Chul Jeong, and Ja-Yong Koo (2007). On the Use of Adaptive Nearest Neighbors for Missing Value Imputation. Communications in Statistics-Simulation and Computation, 36(6), 1275-1286.

• Jae Won Lee, Myoungshic Jhun, Jong Young Kim, and JungBok Lee (2007). An optimal choice of window width for LOWESS normalization of microarray data. OR Spectrum, 30(2), 235-248.

• Byoung Chul Jung, Myoungshic Jhun, and SeuckHeun Song (2007). A New Random Permutation Test in ANOVA Models. Statistical Papers, 48(1), 47-62.

• Myoungshic Jhun, HyeongChul Jeong, and Seungwook Bahng (2007). Simultaneous Confidence Intervals for the Mean of Multivariate Poisson Distribution. Communications in Statistics, 36(1), 151-164.

• Byoung Chul Jung, Myoungshic Jhun, and SeuckHeun Song (2006). Testing for Overdispersion in a Censored Poisson Regression Model. Statistics, 40(6), 533-543.

• Byoung Cheol Jung, Myoungshic Jhun, and Jae Won Lee (2005). Bootstrap Tests for Overdispersion in a Zero Inflated Poisson Regression Model. Biometrics, 61(2), 626-628.

• Hyeong Chul Jeong, Myoungshic Jhun, and Daehak Kim (2005). Bootstrap Tests for Independence in Two-way Ordinal Contingency Tables. CSDA, 48(3), 623-631.

• Myoungshic Jhun, SeuckHeun Song, and Byoung Cheol Jung (2003). BLUP in the Nested Panel Regression Model with Serially Correlated Errors. CSDA, 44(1-2), 77-88.

• Myung-Hoe Huh and Myoungshic Jhun (2001). Random Permutation Testing in Multiple Linear Regression. Communications and Statistics -Theory and Methods, 30(10), 2023-2032.

• Myoungshic Jhun and Hyeong Chul Jeong (2000). Bootstrap Methods for Categorical Data Analysis. CSDA, 35(1), 83-91.

• Myoungshic Jhun (1993). Bootstrap Choice of Smoothing Parameter of Locally Weighted Linear Regression. JJSCS, 6, 25-32.

• R.W. Butler, P.L. Davies, and Myoungshic Jhun (1993). Asymptotics for the Minimum Covariance Determinant Estimator. The Annals of Statistics, 21(3), 1385-1400.

• Myoungshic Jhun (1990). Bootstrapping k-Means Clustering. JJSCS, 3, 1-14.

• Julian J. Faraway and Myoungshic Jhun (1990). Bootstrap Choice of Bandwidth for Density Estimation. JASA, 85(412), 1119-1122

• Michael Woodroofe and Myoungshic Jhun (1989). Singh's Theorem in the Lattice Case. Statistics and Probability Letters, 7(3), 201-205.

• Myoungshic Jhun (1988). Boostrapping Density Estimates. Communications in Statistics, 17(1), 61-78.

• Myoungshic Jhun and Pui Lam Leung (1988). A Monte Carlo Method for Foutz's Goodness-of-Fit Test. Journal of Statistical Computation and Simulation, 29(4), 309-316.

• Gilles R. Ducharme and Myoungshic Jhun (1986). A Note on Bootstrap Procedure for testing linear hypotheses. Statistics, 17(4), 527-31.

• Gilles R. Ducharme, Myoungshic Jhun, Joseph P. Romano, and Kinh N. Truong (1985). Bootstrap Confidence Cones for Directional Data. Biometrika, 72(3), 637-645.

Selected Domestic Academic Journals

• Hyeon-Seok Ko, Myoungshic Jhun, Hyeong Chul Jeong (2015/06) Applications of Bootstrap Methods for Canonical Correspondence Analysis. The Korean Journal of Applied Statistics 28(3), 485-494

• Hyeon-Seok Ko, Myoungshic Jhun, Hyeong Chul Jeong (2015/03) A Comparison Study for Ordination Methods in Ecology. The Korean Journal of Applied Statistics 28(1), 49-60

• Eunkyung Kim, Myoungshic Jhun, Sungwan Bang (2015/02) Weighted L1-Norm Support Vector Machine for the Classification of Highly Imbalanced Data. The Korean Journal of Applied Statistics 28(1), 9-21

• Sook Young Woo, Jae Won Lee, Myoungshic Jhun; (2014/09) Microarray data analysis using relative hierarchical clustering. Journal of the Korean Data and Information Science Society 25(5), 999-1009

• Jong Chan Lee, Myoungshic Jhun & Hyeong Chul Jeong (2014/2) A Statistical Testing of the Consistency Index in Analytic Hierarchy Process. The Korean Journal of Applied Statistics, 27(1), 103-114

• Sungwan Bang, Myoungshic Jhun & HyungJun Cho (2013/12) Stepwise Estimation for Multiple Non-Crossing Quantile Regression using Kernel Constraints. The Korean Journal of Applied Statistics, 26(6), 915-922

• Saebitna Oh, Myoungshic Jhun (2013/10) Permutation Tests for Heteroscedasticity in Quantile Regression Model.  J. of the Korean Data Analysis Society , 15, 5, 2499-2508

• Sungwan Bang & Myoungshic Jhun (2013/8) Two-stage penalized composite quantile regression with grouped variables. Communications for Statistical Applications and Methods. 20(4), 259–270

• Sungwan Bang & Myoungshic Jhun (2012/10) On the Use of Adaptive Weights for the F-Norm Support Vector Machine. The Korean Journal of Applied Statistics, 25(5), 829-835

• Hyeong Chul Jeong, Jong Chan Lee, Myoungshic Jhun (2012/6) A Study for Obtaining Weights in Pairwise Comparison Matrix in AHP. The Korean Journal of Applied Statistics. 25(3), 531-541

• Kangmin Seo, Sungwan Bang, Myoungshic Jhun(2012/4) Bootstrapping Composite Quantile Regression. The Korean Journal of Applied Statistics. 25(2), 341-350

• Sooncheol Sohn & Myoungshic Jhun (2012/4) A Robust Approach of Regression-Based Statistical Matching for Continuous Data. The Korean Journal of Applied Statistics. 25(2), 331-339

• Sohyun Park, Sungwan Bang, Myoungshic Jhun (2011/12). On the Use of Sequential Adaptive Nearest Neighbors for Missing Value Imputation. The Korean Journal of Applied Statistics 24(6), 1249-1257

• Jinwoo Maeng, Sungwan Bang, Myoungshic Jhun (2010/12). On the Use of Modified Adaptive Nearest Neighbors for Classification. The Korean Journal of Applied Statistics, 23(6), 1093-1102

• Soonchul Son, Myoungshic Jhun (2009). Stratification Method Using k-Spatial Medians Clustering. The Korean Journal of Applied Statistics, 22(4), 677-686.

• Sookjung Jo, Jongsung Bae, Myoungshic Jhun, Jaewon Lee, Sanggue Park (2009). Sample Size Computation for One-Way Analysis Of Variance. JKDAS, 3(B), 1429-1441.

• Myoungshic Jhun, Inkyung Choi (2009). Adaptive Nearest Neighbors for Classification. The Korean Journal of Applied Statistics, 22(3), 479-488.

• Myoungshic Jhun, Byoungcheol Jung (2008). Testing for Overdispersion in a Bivariate Negative Binomial Distribution Using Bootstrap Method. The Korean Journal of Applied Statistics, 21(2), 341-353.

• S.J. Lee, C. Park, M. Jhun, and J-Y Koo (2007). Support Vector Machine using K-Means Clustering. JKSS, 36(1), 175-182.

• Myoungshic Jhun, Seungjun Shin (2007). Comparison Study for Missing Imputation Methods : A Focus on Canonical Discriminant Analysis. JKDAS, 9(2), 673-685.

• Seohoon Jin, Myoungshic Jhun (2005). On the Assessment of Validity and Stability in Cluster Analysis. JKDAS, 7(5), 1509-1515.

• Hyeonseok Ko, Myoungshic Jhun (2005). A Comparative Study on Estimating Number of Uniqueness in Disclosing Microdata. The Applied Statistics, 20, 89-104.

• Myoungshic Jhun, Kimin Kim, Hyeonseok Ko (2004). Some Practical Uses of Population and Housing Census of 2000 in Korea. The Applied Statistics, 19, 35-53.

• Hyoungchoel Jung, Myoungshic Jhun, Daehak Kim (2003). A Comparison of Confidence Intervals for the Difference of Proportions. The Korean Journal of Applied Statistics, 16(2), 377-393.

• SeuckHeun Song, Byoung Cheol Jung, and Myoungshic Jhun (2001). LM Tests in Nested Serially Correlated Error Component Model with Panel Data. JKSS, 30(4), 541-550.

• Changwan Kang, Daehak Kim, Myoungshic Jhun (2001). The Application of Bootstrap Methods for Correspondence Analysis, The Korean Journal of Applied Statistics, 14(2), 401-414.

• Myoungshic Jhun and Seohoon Jin (2000). On a Modified K-Spatial Medians Clustering. JKSS, 29(2), 247-260.

• Seuckheun Song, Myoungshic Jhun, Byoungcheol Jung (2000). A Comparison of Estimation Procedures in a Nested Error Components Regression Model. The Korean Journal of Applied Statistics, 13(1), 55-70.

• Byoung Cheol Jung, Myoungshic Jhun, SeuckHeun Song (1999). Asymptotic Distribution of the LM Test Statistic for the Nested Error Component Regression Model. JKSS, 28(4), 489-501.

• Seuckheun Song, Myoungshic Jhun, Byoungcheol Jung (1999). A comparative study on the confidence intervals for regression coefficients in a panel regression model. The Korean Journal of Applied Statistics, 12(2), 449-461.

• SeuckHeun Song, Myoungshic Jhun, and Byoung Cheol Jung (1998). The Efficiency of the Cochran-Orcutt Estimation Procedure in Autocorrelated Regression Models. JKSS, 27(3), 319-330.

• Myoungshic Jhun (2001/8). Change in Korean Society and its Impact on Statistical Developments, 'Statistics in Korea: History, Role in Economic Development and Current Statistical System' edited by Song and Huh, 147-166.

• Jaechang Lee, Myoungshic Jhun, Changwan Kang (1996). BOOTSTRAP CHOICE OF TRIMMING PORTION FOR TRIMMED ESTIMATORS . The Korean Journal of Applied Statistics, 9(2), 1-11.

• Julian J. Faraway and Myoungshic Jhun (1995). Adaptive Kernel Density Estimation. Communications for statistical applications and methods, 2(1), 99-111.

• YooSung Park, KeeYoung Kim, and Myoungshic Jhun (1994). A Law of Large Numbers for Maxima in M/M/ Ques and INAR(1) Processes. JKSS , 23(2), 483-498.

•  Jaechang Lee, Myoungshic Jhun, Daehak Kim (1993). Nonparametric Kernel Calibration and Interval Estimation. The Korean Journal of Applied Statistics, 6(2), 227-235.   

• Myoungshic Jhun (1991). Discussion for Advances in Data-Driven Bandwidth Selection. JKSS, 20, 17-20.

• Keeyoung Kim, Myoungshic Jhun (1991). Bootstrap Inference for covariance matrices of two Independent populations. The Korean Journal of Applied Statistics, 4(1), 1-11.

• Myoungshic Jhun (1990). Bootstrap Method and Its Applications = A Computer Intensive Method for Modern Statistical Data AnalysisⅠ. The Korean Journal of Applied Statistics, 3(1), 1121-1141.

• Myoungshic Jhun (1988). L1 Bandwidth Selection in Kernel Regression Function Estimation. JKSS, 17(1) 1-8.

• Myoungshic Jhun (1986). Bootstrap Method for k-Spatial Medians Clustering. JKSS, 15(1), 1-8.