교원정보

학술지 논문

• (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