Yerim An

Hwijin Seo

Donghoon Lee

Sumin Jeon

Yujin Hwang

Dong Hyun Kang

Dongcheol Shin

SeungBeom Hong

DongKwun Yoo

Younghun Ko

Ali Mahzarnia

Tanmay Kenjale

Avery Johnson

Ruari Swift-christian

Wei Zhang

Jun Song is an Associate Professor in the Department of Statistics at Korea University. His research interests include dimension reduction, functional data analysis, statistical machine learning, data privacy, and various machine learning problems. He received a Ph.D. in Statistics at The Pennsylvania State University, and B.S. degrees in Statistics and Mathematical Sciences at Seoul National University.

송준 교수는 고려대학교 통계학과 부교수입니다. 그의 연구 관심 분야는 차원 축소, 함수 데이터 분석, 통계적 기계 학습, 데이터 프라이버시 및 다양한 기계 학습 문제입니다. 그는 펜실베이니아 주립대학교에서 통계학 박사 학위를, 서울대학교에서 통계학 및 수리과학 학사 학위를 받았습니다.

Nonlinear Sufficient Dimension Reduction for Conditional Quantiles in Scalar-on-Function Single-Index Models

Valid asymptotic inference after sufficient dimension reduction in a single-index framework

Functional adaptive group lasso with its non-asymptotic bounds

Dimension Reduction for the Conditional Quantiles of Functional Data with Categorical Predictors

Sufficient Dimension Reduction for the Conditional Quantiles of Functional Data

Enhancing Sufficient Dimension Reduction via Hellinger Correlation

Robust Inverse Regression for Multivariate Elliptical Functional Data

A selective review of nonlinear sufficient dimension reduction

On a Nonlinear Extension of the Principal Fitted Component Model

A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study

Multivariate functional group LASSO: functional predictor selection

Dimension reduction for functional data based on weak conditional moments

Sparse Multivariate Functional Principal Component Analysis

Multivariate Neighborhood Trajectory Analysis: An Exploration of the Functional Data Analysis Approach

Nonlinear and additive principal component analysis for functional data

On sufficient dimension reduction for functional data: Inverse moments based methods

Molecular, physiological and behavioral responses of honey bee (Apis mellifera) drones to infection with microsporidian parasites

Nonlinear sufficient dimension reduction for functional data

Interaction-Aware Nonlinear Scalar-on-Function Regression with Functional Predictor Selection via Adaptive RKHS

Jun Song Lab

교수님 소개

송준

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Sufficient Dimension Reduction for the Conditional Quantiles of Functional Data

Sufficient Dimension Reduction for the Conditional Quantiles of Functional Data

Sufficient Dimension Reduction for the Conditional Quantiles of Functional Data

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

송준

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Sufficient Dimension Reduction for the Conditional Quantiles of Functional Data

Sufficient Dimension Reduction for the Conditional Quantiles of Functional Data

Sufficient Dimension Reduction for the Conditional Quantiles of Functional Data

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집