Research output per year
Research output per year
Personal profile
In Korean
이경은 교수(자연과학대학 통계학과)
Education
o (1993) B.S., Kyungpook National University, Daegu, Korea
o (1997) M.S., Seoul National University, Seoul, Korea
o (2004) Ph.D., Texas A&M University, Texas, U.S.A.
o (1997) M.S., Seoul National University, Seoul, Korea
o (2004) Ph.D., Texas A&M University, Texas, U.S.A.
Professional Experience
o (2014~Present) Associate Professor, Kyungpook National University, Daegu
o (April 2007~March 2014) Assistant, Kyungpook National University, Daegu
o (February 2005~March 2007) Full Lecturer, Kyungpook National University, Daegu
o (April 2007~March 2014) Assistant, Kyungpook National University, Daegu
o (February 2005~March 2007) Full Lecturer, Kyungpook National University, Daegu
Research Interests
Bayesian Variable Selection, Propensity Score Analysis, Functional Clustering, Survival Data Analysis, Concordance Correlation Coefficient
Major Research Achievements
o Bayesian Pathway Selection
o Simultaneous outlier detection and variable selection via difference-based regression model and stochastic search variable selection
o Bayesian variable selection under the proportional hazards mixed-effects model
o Gene selection: a Bayesian variable selection approach
o Simultaneous outlier detection and variable selection via difference-based regression model and stochastic search variable selection
o Bayesian variable selection under the proportional hazards mixed-effects model
o Gene selection: a Bayesian variable selection approach
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Research output
- 38 Article
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MODIFIED GEOMETRIC DISTRIBUTION OF ORDER k AND ITS APPLICATIONS
Oh, J. & Lee, K. E., 2024, In: Journal of Applied Mathematics and Informatics. 42, 3, p. 709-723 15 p.Research output: Contribution to journal › Article › peer-review
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Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database
Jang, M. G., Cha, S. H., Kim, S., Lee, S., Lee, K. E. & Shin, K. H., 2023, In: Expert Opinion on Drug Safety. 22, 7, p. 629-636 8 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Bayesian pathway selection
Nizeyimana, P., Lee, K. E. & Kim, I., Jun 2023, In: Journal of the Korean Statistical Society. 52, 2, p. 283-303 21 p.Research output: Contribution to journal › Article › peer-review
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Predictors for elder mistreatment related to older adults and their primary caregivers
Park, E., Lee, K. E., Park, D. I. & Sinacori, B., 2023, In: ACTA Paulista de Enfermagem. 36, eAPE035932.Research output: Contribution to journal › Article › peer-review
Open Access -
딥러닝을 이용한 강우량 첨두 예측
Lee, K. E., 2023, In: 한국데이터정보과학회지. 34, p. 607Research output: Contribution to journal › Article › peer-review