Sookmyung Statistics
Professor
Choi, YoungGeun

RESEARCH & PUBLICATIONS
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Research Interests
Theory & method: multivariate data analysis, causal inference, and machine learning
Application: on healthcare, manufacturing, and retail
Publications
Choi, Y.-G., Roy, A., Park, J. & Lim, J. (2019). Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage. Journal of Multivariate Analysis, 171, 234-249.
Choi, Y.-G., Tsai, W.-Y., & Paik, M. C. (2019). Generalized class of test statistic for testing quasi-independence in left-truncated and right-censored data. Statistica Sinica, 29(2), 789-808.
Choi, Y.-G. & Yu, D. (2019). Causal inference from nonrandomized data: Key concepts and recent trends. Korean Journal of Applied Statistics, 32(2), 173–185.
Choi, Y.-G., Choi, S. J. & Lim, J. (2019). High-dimensional Markowitz portfolio optimization problem: Empirical comparison of covariance matrix estimators. Journal of Statistical Computation and Simulation, 89(7), 1278-1300.
Kwon, Y., Choi, Y.-G., Park, T., Ziegler, A., & Paik, M. C. (2017). Generalized estimating equations with stabilized working correlation structure. Computational Statistics & Data Analysis, 106, 1–11.
Choi, Y.-G., Ng, C. T., & Lim, J. (2017). Regularized LRT for large scale covariance matrices: One sample problem. Journal of Statistical Planning and Inference, 180, 108–123.
Nguyen, H. T. et al. Lee, D. K., Choi, Y.-G., Min, J. E., Yoon, S. J., Yu, Y. H., … Park, J. H. (2016).
A 1H NMR-based metabolomics approach to evaluate the geographical authenticity of herbal medicine and its application in building a model effectively assessing the mixing proportion of intentional admixtures: A case study of Panax ginseng. Metabolomics fo. Journal of Pharmaceutical and Biomedical Analysis, 124, 120–128.
Um, J. a, Choi, Y.-G., Lee, D.-K., Lee, Y. S., Lim, C. J., Youn, Y. a, … Lee, J. (2013). Discrimination between genetically identical peony roots from different regions of origin based on 1H-nuclear magnetic resonance spectroscopy-based metabolomics: determination of the geographical origins and estimation of the mixing proportions of blended. Analytical and Bioanalytical Chemistry, 405(23), 7523–34.
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