Korea University Department of Statistics

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Name : Jung, Yoonsuh (정 윤 서)
Position : Associate Professor
TEL : 02-3290-2249
E-mail : yoons77@korea.ac.kr
Office : 525 Woodang Hall
Research Interests : High dimensional model, Quantile Regression, Variable Selection, Robust Statistics

Ph.D. in Statistics, 2010, Ohio State University, Columbus, OH, U.S.A.

M.S. in Statistics, 2006, Ohio State University, Columbus, OH, U.S.A.

B.S. in Statistics, 2003, Korea University, Seoul, Korea
Positions Held

March 2018 - current: Associate Professor, Korea University, Seoul, South Korea

Feb. 2017– current, Assistant Professor, Korea University, Seoul, South Korea

Feb. 2016 – Feb. 2017, Senior Lecturer, University of Waikato, Hamilton, New Zealand

July 2013 – Jan. 2016, Lecturer, University of Waikato, Hamilton, New Zealand

June 2010 – June 2013, Postdoctoral Fellow, University of Texas MD Anderson Cancer Center, Houston, TX, U.S.A.

Research Papers

 International Academic Journals

• Jung, Y., Zhang, H., and Hu, J. (2018) Transformed Low-rank ANOVA Models for High-dimensional Variable Selection, Statistial Methods in Medical Research (Accepted)

• Jung, Y. (2018) Multiple Predicting K-fold Cross-validation for Model Selection, Journal of Nonparametric Statistics , 30 (1), 197 - 215.

• Jung, Y. (2017) Shrinkage Estimation of Proportion via Logit Penalty, Communications in Statistics - Theory and Methods, 46 (5), 2447 – 2453.

• Hardie, C., Jung, Y., and Jameson, M. (2016) Effect of Statin and Aspirin Use on Toxicity and Pathological Complete Response Rate of Neo-adjuvant Chemoradiation for Rectal Cancer. Asia-Pacific Journal of Clinical Oncology, 12, 167 – 173.

• Jung, Y., Lee, S. P., and Hu, J. (2016) Robust Regression for Highly Corrupted Response by Shifting Outliers. Statistical Modelling, 16 (1), 1 – 23.

• Jung, Y. (2016) Efficient Tuning Parameter Selection by Cross-Validated Score in High Dimensional Models. International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, 10 (1), 19 – 25.

• Jung, Y., and Hu, J. (2015) A K-fold Averaging Cross-validation Procedure. Journal of Nonparametric Statistics, 27 (2), 167 – 179. [Journal of Nonparametric Statistics Best Paper Award 2015]

• Jung, Y., Lee, Y., and MacEachern, S. N. (2015) Efficient Quantile Regression for Heteroscedastic Models. Journal of Statistical Computation and Simulation, 85 (13), 2548 – 2568.

• Jung, Y., Hu, J., and Huang, J. (2014) Biomarker Detection in Association Studies: Modeling SNPs Simultaneously via Logistic ANOVA. Journal of the American Statistical Association, 109 (508), 1355 – 1367.

• Yoo, J., Kim, J., Ro, S., Jung, Y., Jung, S., Choo, S., Lee, J., and Chung, C. (2014) Impact of concomitant surgical atrial fibrillation ablation in patients undergoing aortic valve replacement. Circulation Journal, 78 (6), 1364 – 1371.

• Lester, J., Wessels, A., and Jung, Y. (2014) Oncology Nurses' Knowledge of Survivorship Care Planning: The Need for Education. Oncology Nursing Forum, 41 (2), E35 – E43.

• Lee, Y., MacEachern, S. N., and Jung, Y. (2012) Regularization of Case-Specific Parameters for Robustness and Efficiency. Statistical Science, 27, 350 – 372.

• Lee, S., Lee I., Jung, Y., McConkey, D., and Czerniak, B. (2012) In-Frame cDNA library combined with protein complementation assay identifies ARL11-binding partners. PLoS ONE, 7(12): e52290.


 International Conference Proceedings

 Jung, Y., and MacEachern, S. N. (2016) Efficient Model Selection in Linear and Non- linear Quantile Regression by Cross-validation. Proceedings of International Conference on Computational and Statistical Sciences 2016, Paris, France.


Technical Reports

• Jung, Y., MacEachern, S. N., and Lee, Y. (2010) Window Width Selection for L2 Adjusted Quantile Regression. Technical Report No. 835, Department of Statistics, The Ohio State University.