Homepage | |
---|---|
Name : Jhun, Myoungshic (전 명 식) | |
Position : Professor | |
TEL : (02) 3290-2236 | |
E-mail : jhun@korea.ac.kr | |
Office : 303 CPSE Bldg. | |
Research Interests : Computer Intensive Methods, Data Analysis & Mining | |
Education |
1980 ~ 1985 UC Berkeley Statistics, Ph.D 1978 ~ 1980 Michigan State Univ. Statistics, M.S. 1972 ~ 1976 Seoul National Unuversity Mathematics, B.S. |
Positions Held |
1985 ~ 1988 : Univ. of Michigan at Ann Arbor(tenure track Asst. Professor)
1988 ~ present : Korea University, Dept. of Statistics (Professor)
Member of Statistical Committee, NSO(1997~2009) Member of Board of Directors, Korean Statistical Society (2004.1~05.12)
Chair, Special committee of National Statistical System Reinforcement(2005~07) |
Research Papers |
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. |