Our group studies high-dimensional statistics, nonparametric methods, statistical learning, and inference for complex data.
As of October 2026
심대희
김정
김예린
김지원
서광원
민동주
김가윤
김건우
이주은
진연주
최배훈
이태건
Past affiliations and thesis topics.
김현진 (금융감독원) : Estimation and Inference for High-Dimensional Heterogeneous Data
Jinwoo Cho ( Univ. of Pittsburgh, PhD Student in Statistics): Penalized Local Linear Quantile Regression for Varying Coefficient Models
정현우 (AhnLab 이상탐지팀): Clustering with Word Embedding for Multi-Sense Word
최태영 ( 넷마블컴퍼니 빅데이터팀) : P-Spline for Multi-Level Data Analysis
김지수(라이나생명 데이터분석팀): Predicting movie ratings using Korean reviews with Multinomial Inverse Regression
유제진 ( 넷마블컴퍼니 빅데이터팀): Word2vec Word Sense Disambiguation with Clustering
강지선(삼성생명 디지털금융팀): Face Recognition and Comparative Study using the Nuclear Norm Regression model
박주희(미래에셋대우 빅데이터팀): Clustering Korean Online Newspaper using LDA Model
김인영( 유플러스 디지털팀): Clustering for Multi-prototype Text Analysis
이운재: Constrained Estimation for Functional Linear Regression with Functional Response
손지훈(KCB 코리아크레딧뷰로): Wald test based on B-pline for functional linear regression with scalar response