주요연구영역 : Computer Intensive Methods, Data Analysis & Mining
Curriculum Vitae
학력
1980 ~ 1985 미국 UC Berkeley 통계학과(통계학박사)
1978 ~ 1980 미국 Michigan State Univ. 통계학과(통계학석사)
1972 ~ 1976 서울대학교 자연과학대학 수학과
경력
1985 ~ 1988 : Univ. of Michigan at Ann Arbor(조교수, tenure track)
초청연사(Institute of Mathematical Statistics Meeting, Stony Brook, New York, U.S.A., 1985)
Lilly Award Fellow at the University of Michigan(1986)
미국 NSF Postdoctoral Associate(1987~88)
1988 ~ 현재 : 고려대학교 정경대학 통계학과 조교수, 부교수, 교수
초청연사(세계한민족과학기술자종합학술대회, 1993)
초청연사(Asian Conference on Statistical Computing : 1993, Beijing, China)
고려대학교 통계학과장(1993~94, 2006.8~08.7)
학술진흥재단 이학분과위원(1989~90, 1993~94, 2001)
International Biometric Society 평의원(1994~97)
국비파견해외연구교수(1994.8~95.7, Berkeley대학)
고려대학교 부설 통계연구소 소장(1995~99)
국제통계학회(ISI) 정회원(1995~현재)
초청연사(Second World Conference on Statistical Computing(1997) Pasadena, U.S.A.)
통계청 통계위원회 위원(1997~2009)
한국통계학회 JKSS 편집위원장(1998~99)
독일파견연구교수(과학재단지원: 1999/6~8,Heidelberg대학)
국제통계대회(ISI) 실무집행위원(2001)
고려대학교 정책대학원 통계조사학과 주임(2005~07)
Computational Statistics and Data Analysis 편집위원(2001~07)
한국통계학회 사업이사(2004.1~05.12)
국가통계인프라강화특위 위원장(2005~07)
옥조근정훈장 수상(2006.9.1)
국가통계위원회 위원 및 정책분과위원장(2009~13)
고려대학교 정경대학장(2010.7~2012.6)
한국은행 통계자문위원장(2011~ )
고려대학교 대학원장 (2013.9~2015.8
Publication
연구논문
국제학술지
• 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. L ifetime 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.
• Sooncheol Sohn, ByoungCheol Jung, and Myoungshic Jhun (2012/06). Permutatioin Tests Using Least Distance
Estimator in the Multivariate Regression Model. Computational Statistics. Vol 27, Issue 2, 191-201
• Sungwan Bang & Myoungshic Jhun (2012/04). 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 Overdispersion in 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, a nd Seungwook Bahng (2007). Simultaneous Confidence Intervals for the
Mean of Multivariate Poisson Distribution. Communications in Statistics, 36(1), 151-164.
• ByoungChul Jung, Myoungshic Jhun, and SeuckHeun Song (2006). Testing for Overdispersion in a Censored
Poisson
Regression Model. Statistics, 40(6), 533-543.
• ByoungCheol Jung, Myoungshic Jhun, and Jae Won Lee (2005). Bootstrap Tests for Overdispersion in a Zero
Inflated Poisson Regression Model. Biometrics, 61(2), 626-628.
• HyeongChul 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 ByoungCheol 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 HyeongChul 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.
• 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.
국내학술지
• Hyeon-Seok Ko, Myoungshic Jhun, Hyeong Chul Jeong (2015/06) Applications of Bootstrap Methods for Canonical
Correspondence Analysis. 응용통계연구 28(3), 485-494
• Hyeon-Seok Ko, Myoungshic Jhun, Hyeong Chul Jeong (2015/03) A Comparison Study for Ordination Methods in
Ecology. 응용통계연구 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. 응용통계연구 28(1), 9-21
• 우숙영 , 이재원 , 전명식 (2014/09) 상대적 계층적 군집 방법을 이용한 마이크로어레이 자료의 군집분석 .
한국데이터정보과학회지 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. 응용통계연구 , 27(1), 103-114
• Sungwan Bang, Myoungshic Jhun & HyungJun Cho (2013/12) Stepwise Estimation for Multiple Non-Crossing
Quantile
Regression using Kernel Constraints. 응용통계연구 , 26(6), 915-922
• 오새빛나 , 전명식 (2013/10) 분위수 회귀모형의 이분산성에 대한 순열검정법 . 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. 응용통계연구 , 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. 응용통계연구. 25(3), 531-541
• 서강민, 방성완, 전명식 (2012/4). 복합 분위수 회귀에 대한 붓스트랩방법의 응용. 응용통계연구. 25(2), 341-350
• Sooncheol Sohn & Myoungshic Jhun (2012/4) A Robust Approach of Regression-Based Statistical Matching for
Continuous Data. 응용통계연구. 25(2), 331-339
• 강창완, 김대학, 전명식 (2001). 대응분석에 있어서 붓스트랩 방법의 활용에 대한 고찰, 응용통계연구, 14(2), 401-414.
• Myoungshic Jhun and Seohoon Jin (2000). On a Modified K-Spatial Medians Clustering. JKSS, 29(2), 247-260.
• 송석헌, 전명식, 정병철 (2000). 내포오차성분을 가정한 패널회귀모형에서 추정량의 효율에 관한 비교. 응용통계연구, 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.
• 전명식 (1999). 통계자료 비밀보호와 이에 따른 자료공개 방법. 응용통계, 14, 1-12.
• 정병철, 전명식 (1998). 네이만의평활검정법에 관한 고찰. 응용통계, 13, 35-51.
• 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.
• 전명식, 김은석 (1997). 메타데이타의 원리와 시스템의 연구 추세. 통계분석연구, 2(2), 155-170 .
• Myoungshic Jhun (2002). Applications of Trimmed K-Means Clustering (with Yoo). Proceedings of the 4th ARS
Conference of the IASC, 51-54.
• Myoungshic Jhun (2002). A Comparison of Confidence Intervals for the Difference of Proportions (with Jeong
and Kim). Proceedings of the 4th ARS Conference of the IASC, 274-277.
• Myoungshic Jhun (2001). A New Measure of Validity in Cluster Analysis (with Jin). Proceedings of the 53rd
Session of ISI.
• Myoungshic Jhun (2001). Simultaneous Confidence Intervals for the Difference of Proportions from
Multivariate
Binomial Distribution (with Jeong and Lee). Proceedings of the 53rd Session of ISI.
• Myoungshic Jhun (2001). Tests for Spatial Error Component Regression Model (with Koh and Song). Proceedings
of the 53rd Session of ISI.
• Myoungshic Jhun (2000). Applications of Some Multivariate Statistical Methods for Crop-Yield Weather
Modeling
in Korea (with Lee, Park, and Song). Proceedings of the Second Asian Conference for Information Technology in
Agriculture, 285-291.
• 전명식(1999). 임금구조기본통계조사 표본개편 연구보고서. 통계연구소
• Myoungshic Jhun (1999). Geo-demographic Analysis for Marketing Applications: Megatrending Lifestyles in
Korea
(with Lee and Jin). Invited Paper at the 52nd Session of the ISI.
• Myoungshic Jhun (1999). Application of the k-Spatial Medians Clustering (with Jin). Proceedings of the 52nd
Session of ISI.
• Myoungshic Jhun (1997). Bootstrap Methods for Correspondence Analysis (with Kang and Yoo). Invited Paper at
2nd World Conference of IASC at Pasadena, U.S.A.
• Myoungshic Jhun (1997). A Practical Cluster Technique Applied for Population and Housing Census (with Lee
and
Bang). Invited Paper for the 9th Korean and Japan Joint Conference of Statistics.
• 전명식 (1996). 수용자반응조사에 관한 통계분석방법. 수용자반응조사연구위원회 보고서: 방송위원회, 85-129.
• Myoungshic Jhun (1995). Satistical Methods for Complex Survey Data Analysis (with Choi and Lee). Invited
Paper at ICSQP '95', 1, 358-367.
• Myoungshic Jhun (1994). Bootstrapping Coherency Function (with Choi). Proceedings of ICASSP-94 IEEE, 6,
77-79.
• 전명식 (1994). 문화예술단체 실태조사. 한국문화정책개발원.
• Myoungshic Jhun (1993). Bootstrapping Trimmed Estimators in Statistical Inferences (with Kang and Lee).
Proceedings of the Asian Conference on Statistical Computing.
• Myoungshic Jhun (1989). Variable Kernel Estimates of Density. Proceedings of Korea and Japan Conference of
Statistical Computing and Data Analysis
저서
• SAS 주성분분석(1990, 김기영 공동) 자유아카데미
• SAS 인자분석(1990, 김기영 공동) 자유아카데미
• SAS 판별 및 분류분석(1991, 김기영 공동) 자유아카데미
• SAS 군집분석(1991, 김기영 공동) 자유아카데미
• SAS 상관분석(1992, 김기영 공동) 자유아카데미
• 다변량 통계자료 분석(1994, 김기영 공동) 자유아카데미
• 붓스트랩방법의 이해(1997, 정형철, 진서훈 공동) 자유아카데미
• 회귀분석(1998, 김기영 공동) 자유아카데미
• 통계적 탐구(2002, 김기영외 9인 공동) 교우사
• 예제로 배우는 SAS 다변량자료분석 입문(2005, 강현철, 한상태, 김기영 공동) 자유아카데미