Research Record

• An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Chemical Exposure Data International Journal of Environmental Research and Public Health, 2022, v.19 no.10, 5800
  SCIE SSCI Scopus dColl.
• Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model Journal of Applied Statistics, 2022, v.49 no.3, 738-751
  SCIE Scopus dColl.
• Bayesian analysis of multivariate crash counts using copulas ACCIDENT ANALYSIS AND PREVENTION, 2021 , 105431
  SSCI Scopus dColl.
• Bayesian multivariate receptor modeling software: BNFA and bayesMRM Chemometrics and Intelligent Laboratory Systems, 2021, v.211, 104280
  SCIE Scopus dColl.
• 베이지안 분위회귀모형을 이용한 지역인구에 영향을 미치는 요인분석 응용통계연구, 2021, v.34 no.5, 823-835
  KCI dColl.
• Serum biomarkers from cell-based assays for AhRL and MIS strongly predicted the future development of diabetes in a large community-based prospective study in Korea Scientific Reports, 2020, v.10 no.1, 6339
  SCIE Scopus dColl.
• Accounting for uncertainty in source-specific exposures in the evaluation of health effects of pollution sources on daily cause-specific mortality ENVIRONMETRICS, 2018, v.29 no.1
  SCIE Scopus dColl.
• Bayesian analysis of financial volatilities addressing long-memory, conditional heteroscedasticity and skewed error distribution Communications for Statistical Applications and Methods, 2017, v.24 no.5, 507-518
  Scopus KCI dColl.
• 영과잉 토빗모형을 이용한 한국 소득분포 자료의 베이지안 분석 응용통계연구, 2017, v.30 no.6, 917~929
  KCI dColl.
• Bayesian quantile multivariate receptor modeling Chemometrics and Intelligent Laboratory Systems, 2016, v.159, 174-180
  SCIE Scopus dColl.
• Bayesian variable selection in binary quantile regression Statistics and Probability Letters, 2016, v.118, 177-181
  SCIE Scopus dColl.
• Bayesian variable selection in quantile regression using the Savage-Dickey density ratio Journal of the Korean Statistical Society, 2016, v.45 no.3, 466-476
  SCIE KCI Scopus dColl.
• Volatility spillover between the Korean KOSPI and the Hong Kong HSI stock markets Communications for Statistical Applications and Methods, 2016, v.23 no.3, 203~213
  KCI dColl.
• Robust Bayesian multivariate receptor modeling Chemometrics and Intelligent Laboratory Systems, 2015, 2 SEP 2015
  SCIE Scopus dColl.
• Assessment of source-specific health effects associated with an unknown number of major sources of multiple air pollutants: a unified Bayesian approach BIOSTATISTICS, 2014, v.15 no.3, 484-497
  SCIE Scopus dColl.
• Bayesian comparison of models with inequality and equality constraints STATISTICS & PROBABILITY LETTERS, 2014, v.84, 176-182
  SCIE Scopus dColl.
• Bayesian test on equality of score parameters in the order restricted RC association model COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2014, v.72, 147-157
  SCIE Scopus dColl.
• 부등 제한 조건하에서의 베이지안 추론 응용통계연구, 2014, 제27권 6호, 909-922
  KCI dColl.
• [학술지논문] Prediction of PM10 concentration in Seoul, Korea using Bayesian network Communications for Statistical Applications and Methods, 2023, v.30 no.5 , 517-530
  Scopus
• [학술지논문] An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Chemical Exposure Data INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, v.19 no.10 , 5800-5800
  SSCI
• [학술지논문] BayMDS: An R Package for Bayesian Multidimensional Scaling and Choice of Dimension APPLIED PSYCHOLOGICAL MEASUREMENT, 2022, v.46 no.3 , 250-251
  SSCI
• [학술지논문] Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model JOURNAL OF APPLIED STATISTICS, 2022, v.49 no.3 , 738-751
  SCIE
• [학술지논문] Bayesian analysis of multivariate crash counts using copulas ACCIDENT ANALYSIS AND PREVENTION, 2021, v.149 no.0 , 105431-105431
  SSCI
• [학술지논문] Bayesian multivariate receptor modeling software: BNFA and bayesMRM CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2021, v.211 no.0 , 104280-104280
  SCI
• [학술지논문] Factors affecting regional population of Korea using Bayesian quantile regression 응용통계연구, 2021, v.34 no.5 , 823-835
  KCI
• [학술지논문] Serum biomarkers from cell-based assays for AhRL and MIS strongly predicted the future development of diabetes in a large community-based prospective study in Korea SCIENTIFIC REPORTS, 2020, v.10 no.1 , 6339-6339
  SCI
• [저역서] 기초통계학 경문사, 2023, 281
• [저역서] JAGS를 활용한 베이지안 자료분석 자유아카데미, 2019, 231
• [학술발표] Bayesian Quantile Multivariate Receptor Modeling 2021 Joint Statistical Meeting , 미국, Seattle, 2021-08-11 Proceedings of 2021 JSM, 2021
• [학술발표] Application of a Bayesian multivariate receptor model to identify major PM2.5 source areas in Seoul 한국통계학회 2019 춘계학술논문발표회, 대한민국, 춘천, 2019-05-24 한국통계학회 2019 춘계학술논문발표회 프로시딩, 2019, 76-76
• [학술발표] Modeling the multivariate conjugate prior based on copula method 한국통계학회 2019 춘계학술논문발표회, 대한민국, 춘천, 2019-05-24 한국통계학회 2019 춘계학술논문발표회 프로시딩, 2019, 64-64
• [학술발표] Practical MCMC for Bayesian analysis of air pollution data Extreme value analysis 2019, 크로아티아, 자그레브, 2019-07-02 Book of Abstracts EVA 2019, 2019, 127-127
• [학술발표] Predicting the progression of diabetes via machine learning 한국통계학회 2019 춘계학술논문발표회, 대한민국, 춘천, 2019-05-24 한국통계학회 2019 춘계학술논문발표회 프로시딩, 2019, 72-72

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