High dimensional statistical models, Model Selection, Nonparametric function estimation
Education
Ph.D. Statistics, Seoul National University, Feb 2011.
M.Sc. in Dept. of Statistics, Seoul National University, 2006.
B.Sc. in Dept. of Statistics, Seoul National University (cum laude), 2004.
Experience
Associate Professor, Department of Statistics, Sungkyunkwan University: March, 2020-
Assistant Professor, Department of Statistics, Sungkyunkwan University: March, 2016- February, 2020
Postdoctoral Researcher, Dept. of Economics, Univ. of Mannheim, Mannheim, Germany: March, 2011 -February, 2016
Postdoctoral Researcher, Inst. for Applied Mathematics, Heidelberg Univ., Heidelberg, Germany : January, 2015 - February 2016
Member of the SFB 884
Journal Articles
(2026)
Reduced Varying Coefficient Models for Regional Quantile Regression with Multiple Responses.
BIOMETRICS.
(2025)
Transfer learning under large-scale low-rank regression models.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.
00,
(2024)
EFFICIENT FUNCTIONAL LASSO KERNEL SMOOTHING FOR HIGH-DIMENSIONAL ADDITIVE REGRESSION.
ANNALS OF STATISTICS.
52,
4
(2024)
Low-Rank Regression Models for Multiple Binary Responses and their Applications to Cancer Cell-Line Encyclopedia Data.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.
119,
545
(2023)
Debiased inference for heterogeneous subpopulations in a high-dimensional logistic regression model.
SCIENTIFIC REPORTS.
13,
1
(2023)
Regional quantile regression for multiple responses.
COMPUTATIONAL STATISTICS & DATA ANALYSIS.
188,
-
(2023)
Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study.
STATISTICS IN MEDICINE.
42,
22
(2023)
Quantile forward regression for high-dimensional survival data.
LIFETIME DATA ANALYSIS.
29,
4
(2022)
Penalized kernel quantile regression for varying coefficient models.
JOURNAL OF STATISTICAL PLANNING AND INFERENCE.
217,
(2021)
Hypothesis testing of varying coefficients for regional quantiles.
COMPUTATIONAL STATISTICS & DATA ANALYSIS.
159,
(2020)
poisson reduced-rank models with an application to political text data.
BIOMETRIKA.
(2020)
Time-dependent Poisson reduced rank models for political text data analysis.
COMPUTATIONAL STATISTICS & DATA ANALYSIS.
142,
(2018)
ESTIMATION OF ERRORS-IN-VARIABLES PARTIALLY LINEAR ADDITIVE MODELS.
STATISTICA SINICA.
28,
4
(2016)
Local linear smoothing for sparse high dimensional varying coefficient models.
ELECTRONIC JOURNAL OF STATISTICS.
10,
1
(2015)
Varying Coefficient Regression Models: A Review and New Developments.
INTERNATIONAL STATISTICAL REVIEW.
83,
1
(2014)
Model Selection via Bayesian Information Criterion for Quantile Regression Models.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.
109,
505
(2014)
Component selection in additive quantile regression models.
JOURNAL OF THE KOREAN STATISTICAL SOCIETY.
43,
1
(2012)
Principal component analysis in very high-dimensional spaces.
STATISTICA SINICA.
22,
3
(2012)
Sparse estimation in functional linear regression..
JOURNAL OF MULTIVARIATE ANALYSIS.
105,
1
(2009)
Bootstrap-based penalty choice for the lasso, achieving oracle performance..
STATISTICA SINICA.
19,
2
Honors / Awards
Uni. of Mannheim GESS Best Paper Award, 2014
The 2nd Institute of Mathematical Statistics Asia Pacific Meeting Travel Grant Award, 2012
Best doctoral dissertation award in College of Natural Sciences, Seoul National University, 2011
