Prof Dr. Jae Keun Yoo | Statistical Analysis | Research Excellence Award
Ewha Womans University | South Korea
Professor Jae Keun (Peter) Yoo is an internationally recognized statistician whose scholarly career has been defined by sustained contributions to the theory, methodology, and application of modern statistical science. Over nearly two decades of research, he has established himself as a leading authority in sufficient dimension reduction (SDR), multivariate regression, statistical learning, computational statistics, and data-driven methodology development. His work has been published in prestigious international journals, including Biometrika, Computational Statistics & Data Analysis, Statistics and Computing, Statistics in Medicine, Scientific Reports, The R Journal, and numerous other leading outlets.
His research portfolio demonstrates a rare combination of rigorous theoretical innovation, methodological advancement, computational implementation, and interdisciplinary application. Through pioneering contributions to dimension reduction methodologies and their applications in health sciences, bioinformatics, transportation systems, insurance analytics, economics, and artificial intelligence, Professor Yoo has significantly advanced the capacity of researchers and practitioners to extract meaningful knowledge from increasingly complex and high-dimensional datasets.
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Featured Publications
Response Dimension Reduction in Multivariate Regression
– Computational Statistics & Data Analysis, 2008
Sufficient Dimension Reduction for the Conditional Mean with a Categorical Predictor in Multivariate Regression
– Journal of Multivariate Analysis, 2008
On a Nonlinear Extension of the Principal Fitted Component Model
– Computational Statistics & Data Analysis, 2023
MBRDR: R-Package for Response Dimension Reduction in Multivariate Regression
– Communications for Statistical Applications and Methods, 2024