본문 바로가기 사이드메뉴 바로가기 대메뉴 바로가기

Applied Mathematics and Statistics

Faculty

Myoungshic Jhun img
Myoungshic Jhun
  • PositionChair / Professor
  • OfficeRoom B519
  • Phone032-626-1900
  • Emailmyoungshic.jhun@stonybrook.edu

Myoungshic Jhun, Professor, B.S. in Mathematics, Seoul National University, Ph.D. in Statistics, 1985, University of California at Berkeley: Computer Intensive Methods in Statistics, Data Analysis
 

Education & Experience

  1972-1976;    Seoul National University, Mathematics Dept. (BS) 
  1978-1980;    Michigan State University, Statistics Dept. (MS)
  1980-1985;    UC Berkeley, Statistics Dept. (Ph.D. under Prof. Beran)
                         Research Assistant (Prof. Neyman and Prof. Le Cam) and Acting Instructor 
  1985-1988;    Univ. of Michigan at Ann Arbor, Statistics Dept. (tenure track asst. professor)
                         Invited Speaker (Institute of Mathematical Statistics Meeting; Stony Brook, U.S.A. 1985)
                         Lilly Award Fellow at the Univ. of Michigan (1986)
                        NSF Postdoctoral Associate (1987-88)   
  1988-2018;   Korea University, Statistics Department (asst. assoc. full professor)
                        Invited Speaker (Global convention of ethnic Korean scientists and engineers, 1993)
                        Invited Speaker (Asian Conference on Statistical Computing, 1993, Beijing, China)
                       Chair of Statistics Department (1992-1994, 2006-2007)
`                      Member of Natural Science Subcommittee, KRF (1989~90, 1993~94, 2001)
                       Council Member of International Biometric Society (1994-1997)
                       Visiting Professor at UC Berkeley (supported by KNSF, (1994/8-1995/7)
                       Director of Institute of Statistics at Korea University (1995-1999)
                       Elected Member of International Statistical Institute (1995-2010)
                       Invited Speaker (2nd World Conference on Statistical Computing, Pasadena, U.S.A.1997)
                       Visiting Professor at Univ. of Heidelberg (supported by KNSF & DFG, 1999/6-8)
                       Associate Editor, Computational Statistics and Data Analysis (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 National Service Medal, Government of Korea (2006.9.1) 
                       Member of National Statistical Committee (2009~13)
                       Dean, College of Political Science and Economics, Korea University (2010.7~2012.6) 
                      Chair, Statistical Consulting Committee, Bank of Korea (2011~2016)
                      Dean, Graduate School, Korea University (2013.9~2015.8)
  2018-           Professor and Chair (Applied Mathematics and Statistics, SUNY Korea)
                      Professor Emeritus (Dept. of Statistics, Korea University) 

Recent Research Projects Funded by KNSF & KRF

  • On the Use of Adaptive Nearest Neighbors for Classification and Regression (PI: 2020/6-2022/8)
  • Kernel ridge regression for ultra-high dimensional large-scale data (PI: 2018/6-2020/5)
  • Optimality of Nonparametric Regression Function Estimation (PI: 2016/11 –2017/10)
  • Quantile Regression Model and Support Vector Machine via Hierarchical Penalization (PI: 2013/06 –2016/05)
  • Shrinkage Methods for Quantile Regression Model (PI: 2010/05 –2013/04)
  • On the Use of Spatial Median for Statistical Problems (PI: 2007/08 –2010/07)
  • Adaptive Nearest Neighbors (PI: 2005/09 –2006/08)
  • Statistical Modeling for Complex Structure Data (Co-PI: 2005/09 –2008/08)


Publications (refereed academic journal)

  • Jongkyeong Kang and Myoungshic Jhun (2021/7) Random projection ensemble adaptive nearest neighbor classification. KJAS 34(3), 401-410
  • Jongkyeong Kang and Myoungshic Jhun (2020/7) Variable selection in reproducing kernel Hilbert space using random sketch method. JKDISS 31(4), 501-511
  • Jongkyeong Kang and Myoungshic Jhun (2020/1) Divide-and-conquer random sketched kernel ridge regression for large-scale data analysis. JKDISS 31(1), 15-23
  • Myoungshic Jhun, Jongkyeong Kang, and Sangwan Bang (2017/10) Selection of bandwidth for local linear composite quantile regression smoothing. KJAS 30(5), 733-745
  • Sungwan Bang, Jongkyeong Kang, Myoungshic Jhun and Eunkyung Kim (2017/08) Hierarchically penalized support vector machine with grouped variables International Journal of Machine Learning and Cybernetics Vol 8, No 4, pp1211-1221
  • Sungwan Bang, Soo-Heang Eo, Myoungshic Jhun, HyungJun Cho (2017/06) Composite kernel quantile regression Communications in Statistics - Simulation and Computation Vol 46, No 3, pp2228-2240
  • Sungwan Bang, HyungJun Cho, and Myoungshic Jhun (2016/04). Adaptive Lasso Penalized Censored Composite Quantile Regression. Int. J. Data Mining and Bioinformatics Vol. 15, No 1, pp 22-46
  • 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
  • Hyeon-Seok Ko, Myoungshic Jhun, Hyeong Chul Jeong (2015/06) Applications of Bootstrap Methods for Canonical Correspondence Analysis. KJAS 28(3), 485-494
  • Hyeon-Seok Ko, Myoungshic Jhun, Hyeong Chul Jeong (2015/03) A Comparison Study for Ordination Methods in Ecology. KJAS 28(1), 49-60
  • Eunkyung Kim, Myoungshic Jhun, Sangwan Bang (2015/02) Weighted L1-Norm Support Vector Machine for the Classification of Highly Imbalanced Data. KJAS 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. KJAS, 27(1), 103-114
  • 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
  • Sungwan Bang, Myoungshic Jhun & HyungJun Cho (2013/12) Stepwise Estimation for Multiple Non-Crossing Quantile Regression using Kernel Constraints. KJAS 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
  • Sooncheol Sohn, ByoungCheol Jung, and Myoungshic Jhun (2012/6). Permutation 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. CSDA, 56(12), 813-826
  • Sungwan Bang & Myoungshic Jhun (2012/10) On the Use of Adaptive Weights for the F-Norm Support Vector Machine. KJAS, 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. KJAS. 25(3), 531-541
  • Kangmin Seo, Sungwan Bang, Myoungshic Jhun (2012/4) Bootstrapping Composite Quantile Regression. KJAS 25(2), 341-350
  • Sooncheol Sohn & Myoungshic Jhun (2012/4) A Robust Approach of Regression-Based Statistical Matching for Continuous Data. KJAS. 25(2), 331-339
  • Sohyun Park, Sungwan Bang, Myoungshic Jhun (2011/12). On the Use of Sequential Adaptive Nearest Neighbors for Missing Value Imputation. KJAS 24(6), 1249-1257
  • 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.
  • 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
  • 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.
  • 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.
  • 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, Byoungcheol Jung (2008). Testing for Overdispersion in a Bivariate Negative Binomial Distribution Using Bootstrap Method. KJAS, 21(2), 341-353.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Hyoungchoel Jung, Myoungshic Jhun, Daehak Kim (2003). A Comparison of Confidence Intervals for the Difference of Proportions. KJAS 16(2), 377-393.
  • Myung-Hoe Huh and Myoungshic Jhun (2001). Random Permutation Testing in Multiple Linear Regression. Communications and Statistics -Theory and Methods, 30(10), 2023-2032.
  • 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, KJAS 14(2), 401-414.
  • 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.
  • Myoungshic Jhun and Hyeong Chul Jeong (2000). Bootstrap Methods for Categorical Data Analysis. CSDA, 35(1), 83-91.
  • 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. KJAS, 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. KJAS, 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.
  • Jaechang Lee, Myoungshic Jhun, Changwan Kang (1996). Bootstrap Choice of Trimming Portion for Trimmed Estimators. KJAS 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, KJAS, 6(2), 227-235.   
  • 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 (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. KJAS, 4(1), 1-11.
  • Myoungshic Jhun (1990). Bootstrap Method and Its Applications = A Computer Intensive Method for Modern Statistical Data AnalysisⅠ KJAS, 3(1), 1121-1141.
  • 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). Bootstrapping 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.
  • 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.
  • 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.

 

 

List