Jae Keun Yoo Professor

Department of Statistics

유재근 프로필 사진
Professor Jae Keun Yoo is a faculty of Department of Statisticis and obtaind master and doctoral degrees from the School of Statistics, University of Minnesota, Twin Cities under supervision of R. Dennis Cook. He has earned excellences in reseraching areas of sufficient dimeinsion reduction, multivariate analysis, and regression. Professor Yoo has been the chair of Ewha Institute of Statistics since 2013, and has published  58 papers in professional peer-review journals including 38 papers in SCI(E) journals.
  • Director, Ewha Institute of Statistics
  • Science Building B #B508
  • 02-3277-6717
Research Record
  • Applications of response dimension reduction in large p-small n problems Communications for Statistical Applications and Methods, 2024, v.31 no.2, 191-202
    Scopus KCI dColl.
  • MBRDR: R-package for response dimension reduction in multivariate regression Communications for Statistical Applications and Methods, 2024, v.31 no.2, 179-189
    Scopus KCI dColl.
  • Multivariate probit linear mixed models for multivariate longitudinal binary data Statistics in Medicine, 2024, v.43 no.8, 1527-1548
    SCIE Scopus dColl.
  • Predicting Driver's mental workload using physiological signals: A functional data analysis approach Applied Ergonomics, 2024, v.118, 104274
    SCIE SSCI Scopus dColl.
  • On a nonlinear extension of the principal fitted component model Computational Statistics and Data Analysis, 2023, v.182, 107707
    SCIE Scopus dColl.
  • Machine learning approach for study on subway passenger flow Scientific Reports, 2022, v.12 no.1, 2754
    SCIE Scopus dColl.
  • On cross-distance selection algorithm for hybrid sufficient dimension reduction Computational Statistics and Data Analysis, 2022, v.176, 107562
    SCIE Scopus dColl.
  • Projective resampling estimation of informative predictor subspace for multivariate regression Journal of the Korean Statistical Society, 2022, v.51 no.4, 1117-1131
    SCIE Scopus KCI dColl.
  • SEEDCCA: An Integrated R-Package for Canonical Correlation Analysis and Partial Least Squares R JOURNAL, 2021, v.13 no.1, 7-20
    SCIE Scopus dColl.
  • 다변량회귀에서 주선택 반응변수 차원축소 응용통계연구, 2021, v.34 no.4, 659-669
    KCI dColl.
  • Fused clustering mean estimation of central subspace Journal of the Korean Statistical Society, 2020, v.49 no.2, 350-363
    SCIE Scopus KCI dColl.
  • On hierarchical clustering in sufficient dimension reduction Communications for Statistical Applications and Methods, 2020, v.27 no.4, 431-443
    Scopus KCI dColl.
  • Syntactic complexity as a linguistic marker to differentiate mild cognitive impairment from normal aging Journal of Speech, Language, and Hearing Research, 2020, v.63 no.5, 1416-1429
    SCIE SSCI Scopus dColl.
  • Analysis of microarray right-censored data through fused sliced inverse regression Scientific Reports, 2019, v.9 no.1, 15094
    SCIE Scopus dColl.
  • Modeling of the ARMA random effects covariance matrix in logistic random effects models STATISTICAL METHODS AND APPLICATIONS, 2019, v.28 no.2, 281-299
    SCIE Scopus dColl.
  • Note on response dimension reduction for multivariate regression Communications for Statistical Applications and Methods, 2019, v.26 no.5, 519~526
    KCI dColl.
  • On fused dimension reduction in multivariate regression Chemometrics and Intelligent Laboratory Systems, 2019, v.193, 103828
    SCIE Scopus dColl.
  • Unstructured principal fitted response reduction in multivariate regression Journal of the Korean Statistical Society, 2019, v.48 no.4, 561-567
    SCIE Scopus KCI dColl.
  • Basis-Adaptive Selection Algorithm in dr-package R JOURNAL, 2018, v.10 no.2, 124-132
    SCIE Scopus dColl.
  • Do we need the constant term in the heterogenous autoregressive model for forecasting realized volatilities? Communications in Statistics: Simulation and Computation, 2018, v.47 no.1, 63-73
    SCIE Scopus dColl.
  • Fused sliced average variance estimation의 실증분석: 비스킷 반죽의 근적외분광분석법 분석 자료로의 적용 응용통계연구, 2018, v.31 no.6, 835~842
    KCI dColl.
  • Partial least squares fusing unsupervised learning CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2018, v.175, 82-86
    SCIE Scopus dColl.
  • Response dimension reduction: model-based approach STATISTICS, 2018, v.52 no.2, 409-425
    SCIE Scopus dColl.
  • Dimension test approach of heteroscedasticity in the linear model Communications in Statistics: Simulation and Computation, 2017, v.46 n.6, 1-11
    SCIE Scopus dColl.
  • Effects of age, working memory, and word order on passive-sentence comprehension: evidence from a verb-final language International Psychogeriatrics, 2017, v.29 n.6, 1-10
    SCIE SSCI Scopus dColl.
  • Fused sliced average variance estimation Journal of the Korean Statistical Society, 2017, v.46 no.4, 623-628
    SCIE Scopus KCI dColl.
  • Fused sliced inverse regression in survival analysis Communications for Statistical Applications and Methods, 2017, v.24 no.5, 533-541
    Scopus KCI dColl.
  • Intensive numerical studies of optimal sufficient dimension reduction with singularity Communications for Statistical Applications and Methods, 2017, v.24 no.3, 303-315
    Scopus KCI dColl.
  • Verifying Identities of Plant-Based Multivitamins Using Phytochemical Fingerprinting in Combination with Multiple Bioassays PLANT FOODS FOR HUMAN NUTRITION, 2017, v.72 no.3, 288-293
    SCIE Scopus dColl.
  • Case studies: Statistical analysis of contributions of vitamins and phytochemicals to antioxidant activities in plant-based multivitamins through generalized partially double-index model Communications for Statistical Applications and Methods, 2016, v.23 no.3, 251~258
    KCI dColl.
  • Dimension reduction for right-censored survival regression: transformation approach Communications for Statistical Applications and Methods, 2016, v.23 no.3, 259~268
    KCI dColl.
  • Sufficient dimension reduction through informative predictor subspace Statistics, 2016, v.50 n.5, 1-14
    SCIE Scopus dColl.
  • A theoretical note on optimal sufficient dimension reduction with singularity STATISTICS & PROBABILITY LETTERS, 2015, v.99, 109-113
    SCIE Scopus dColl.
  • High-throughput data dimension reduction via seeded canonical correlation analysis Journal of Chemometrics, 2015, v.29 no.3
    SCIE Scopus dColl.
  • 결합 다단계 일반화 선형모형을 이용한 다변량 경시적 자료 분석 응용통계연구, 2015, v.28 no.2, 335-342
    KCI dColl.
  • Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2014, v.80, 111-116
    SCIE Scopus dColl.
  • CANONICAL CORRELATION ANALYSIS THROUGH LINEAR MODELING AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2014, v.56 no.1, 59-72
    SCIE Scopus dColl.
  • Multivariate seeded dimension reduction JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 2014, v.43 no.4, 559-566
    SCIE KCI dColl.
  • 공변량을 이용한 한국프로야구 관중 수 예측에 대한 고찰 한국데이터정보과학회지, 2014, 제25권 6호, 1481-1489
    KCI dColl.
  • [학술지논문] On a nonlinear extension of the principal fitted component model COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2023, v.182 no.0 , 107707-107707
    SCIE
  • [학술지논문] Two variations of cross-distance selection algorithm in hybrid sufficient dimension reduction Communications for Statistical Applications and Methods, 2023, v.30 no.2 , 179-189
    Scopus
  • [학술지논문] Comprehensive studies of Grassmann manifold optimization and sequential candidate set algorithm in a principal fitted component model Communications for Statistical Applications and Methods, 2022, v.29 no.6 , 721-733
    Scopus
  • [학술지논문] Intensive comparison of semi-parametric and nonparametric dimension reduction methods in forward regression Communications for Statistical Applications and Methods, 2022, v.29 no.5 , 615-627
    Scopus
  • [학술지논문] Machine learning approach for study on subway passenger flow SCIENTIFIC REPORTS, 2022, v.12 no.1 , 2754-2754
    SCI
  • [학술지논문] Projective resampling estimation of informative predictor subspace for multivariate regression JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 2022, v.51 no.4 , 1117-1131
    SCIE
  • [학술지논문] Note on the estimation of informative predictor subspace and projective-resampling informative predictor subspace 응용통계연구, 2022, v.35 no.5 , 657-666
    KCI
  • [학술지논문] Fused Inverse Regression with Multi-Dimensional Responses Communications for Statistical Applications and Methods, 2021, v.28 no.3 , 267-279
    Scopus
  • [학술지논문] Iterative projection of sliced inverse regression with fused approach Communications for Statistical Applications and Methods, 2021, v.28 no.2 , 205-215
    Scopus
  • [학술지논문] More on directional regression Communications for Statistical Applications and Methods, 2021, v.28 no.5 , 553-562
    Scopus
  • [학술지논문] SEEDCCA: An Integrated R-Package for Canonical Correlation Analysis and Partial Least Squares R JOURNAL, 2021, v.13 no.1 , 7-20
    SCIE
  • [학술지논문] Principal selected response reduction in multivariate regression 응용통계연구, 2021, v.34 no.4 , 659-669
    KCI
  • [학술지논문] Fused clustering mean estimation of central subspace JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 2020, v.49 no.2 , 350-363
    SCIE
  • [학술지논문] On hierarchical clustering in sufficient dimension reduction Communications for Statistical Applications and Methods, 2020, v.27 no.4 , 431-443
    Scopus
  • [학술지논문] Syntactic Complexity as a Linguistic Marker to Differentiate Mild Cognitive Impairment From Normal Aging JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 2020, v.63 no.5 , 1416-1429
    SSCI
  • [학술지논문] Analysis of microarray right-censored data through fused sliced inverse regression SCIENTIFIC REPORTS, 2019, v.9 no.0 , 15094-15094
    SCI
  • [학술지논문] Note on response dimension reduction for multivariate regression Communications for Statistical Applications and Methods, 2019, v.26 no.5 , 519-526
    Scopus
  • [학술지논문] Unstructured principal fitted response reduction in multivariate regression JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 2019, v.48 no.4 , 561-567
    SCIE
  • [학술발표] Machine Learning Approach for Study on Subway Passenger Flow 2023년 하계학술논문발표회, 대한민국, 부산, 2023-06-30 2023년 하계학술논문발표회 프로시딩, 2023
  • [학술발표] 노이즈 필터링과 충분차원축소를 이용한 비정형 경제 데이터 활용에 대한 연구 2023년도 하계학술논문발표회, 대한민국, 부산, 2023-06-30 2023년도 하계학술논문발표회 프로시딩, 2023
  • [학술발표] Comparing Grassmann manifold optimization and sequential candidate set algorithm in a principal fitted component model 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, 영국, 2022-12-17 PROGRAMME AND ABSTRACTS, 2022
  • [학술발표] Comparison of model performance by predicting the inflow amount of Paldang dam using RNN, LSTM, GRU, CNN-LSTM, XGBoost and LightGBM 한국데이터정보과학회 2022년 추계학술대회, 대한민국, 수원, 2022-11-04 한국데이터정보과학회 2022년 추계학술대회 프로그램, 2022
  • [학술발표] Ensemble-based Uncertainty Quantification with MIMO(multi-intput multi-output) configuration for Uncertainty-Aware Semi-Supervised learning 한국데이터정보과학회 2022년 추계학술대회, 대한민국, 수원, 2022-11-04 한국데이터정보과학회 2022년 추계학술대회 프로그램, 2022
  • [학술발표] Image generating using feature extraction in generative model 한국데이터정보과학회 2022년 추계학술대회, 대한민국, 수원, 2022-11-04 한국데이터정보과학회 2022년 추계학술대회 프로그램, 2022
  • [학술발표] Intensive comparison of semi-parametric and non-parametric dimension reduction methods in forward regression 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, 영국, 2022-12-17 PROGRAMME AND ABSTRACTS, 2022
  • [학술발표] On cross-distance selection algorithm for hybrid sufficient dimension reduction 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, 영국, 2022-12-17 PROGRAMME AND ABSTRACTS, 2022
  • [학술발표] Spatio-temporal functional data analysis using functional K-means clustering on the traffic volume time series data 한국데이터정보과학회 2022년 추계학술대회, 대한민국, 수원, 2022-11-04 한국데이터정보과학회 2022년 추계학술대회 프로그램, 2022
  • [학술발표] Survival in dimension reduction of factors 한국통계학회 창립50주년 기념 신진통계학자 학술대회, 대한민국, 2021-12-03 한국통계학회 창립50주년 기념 신진통계학자 학술대회 프로시딩, 2021
  • [지적재산권] 표준 상관 분석 및 부분 최소 제곱을 위한 SeedCCA 처리 방법 및 상기 방법을 수행하는 컴퓨팅 장치 Domestic : Patent , Application
Courses
  • 2023-1st

    • First-Year Seminar 강의 계획서 상세보기

      • Subject No 10851Class No 04
      • 1Year ( 1Credit Mon 7~7 (SCI-)
    • Bayesian Statistics and Statistical Computing

    • Statistics Internship

      • Subject No 38910Class No 01
      • 4Year ( 9Credit
    • Statistics Internship Ⅱ

      • Subject No 38918Class No 01
      • Year ( 3Credit
    • Regression Analysis

      • Subject No G11807Class No 01
      • Year ( 3Credit , 3Hour) Wed 2~3 (D106)
    • Statistical Consulting & Practice Ⅰ 강의 계획서 상세보기

      • Subject No G11812Class No 01
      • Year ( 3Credit , 3Hour) Tue 1~1 (D106) , Thu 1~1 (D106)
    • Statistics for Data Science 강의 계획서 상세보기

      • Subject No IDS102Class No 01
      • Year ( 3Credit , 3Hour) Sat 3~3 (ECC-)
  • 2022-2nd

    • Regression Analysis

    • Regression Analysis

    • Statistics Internship

      • Subject No 38910Class No 01
      • 4Year ( 9Credit
    • Statistics Internship II

      • Subject No 38918Class No 01
      • Year ( 3Credit
    • Statistical Consulting & Practice Ⅱ 강의 계획서 상세보기

      • Subject No G11885Class No 01
      • Year ( 3Credit , 3Hour) Tue 1~1 (D109) , Thu 1~1 (D109)
    • Statistics for Data Science 강의 계획서 상세보기

      • Subject No IDS102Class No 01
      • Year ( 3Credit , 3Hour) Sat 3~3 (ECC-)
    • Advanced Statistics for Data Science 강의 계획서 상세보기

      • Subject No IDS107Class No 01
      • Year ( 3Credit , 3Hour) Sat 2~2 (ECC-)
  • 2022-1st

    • First-Year Seminar 강의 계획서 상세보기

      • Subject No 10851Class No 01
      • 1Year ( 1Credit Wed 7~7 (SCI-)
    • Bayesian Statistics and Statistical Computing

      • Subject No 35301Class No 01
      • 4Year ( 3Credit , 3Hour) Tue 3~3 (POSCO451) , Thu 2~2 (POSCO451)
    • Regression Analysis

      • Subject No G11807Class No 01
      • Year ( 3Credit , 3Hour) Tue 2~2 (POSCO-451) , Thu 3~3 (POSCO-451)
    • Robust Statistics 강의 계획서 상세보기

      • Subject No G11927Class No 01
      • Year ( 3Credit , 3Hour) Wed 2~3 (-D108)
    • Statistics for Data Science

      • Subject No IDS102Class No 01
      • Year ( 3Credit , 3Hour) Sat 3~3 (ECC-)
  • 2021-2nd

    • Regression Analysis

      • Subject No 20657Class No 01
      • 2Year ( 3Credit , 3Hour) Wed 4~5
    • Regression Analysis

      • Subject No 20657Class No 02
      • 2Year ( 3Credit , 3Hour) Thu 6~7
    • Categorical Data Analysis

      • Subject No 36858Class No 01
      • 4Year ( 3Credit , 3Hour) Tue 3~3 , Thu 2~2
    • Survival Analysis

      • Subject No G11887Class No 01
      • Year ( 3Credit , 3Hour) Wed 2~3 (D106)
  • 2021-1st

    • First-Year Seminar 강의 계획서 상세보기

      • Subject No 10851Class No 04
      • 1Year ( 1Credit Tue 7~7 (SCI-)
    • Bayesian Statistics and Statistical Computing

      • Subject No 35301Class No 01
      • 4Year ( 3Credit , 3Hour) Mon 3~3 , Wed 2~2
    • Regression Analysis

      • Subject No G11807Class No 01
      • Year ( 3Credit , 3Hour) Tue 2~3 (POSCO-465)
      • Classroom Changed
Work Experience

Department Chair, Management for Science and Technology 2019-02-01 ~ 2021-01-31

Department Chair, Statistics 2017-08-01 ~ 2019-07-31

Department Chair, Statistics 2017-08-01 ~ 2019-07-31

Director, Ewha Institute of Statistics 2013-08-01 ~ 2015-07-31

Department Chair, Statistics 2015-02-01 ~ 2015-07-31

Univ. of Louisville 조교수 2005-09-26 ~ 2010-02-28