Jeongyoun Ahn

发表

The maximal data piling direction for discrimination

J. Marron, Jeongyoun Ahn, 2010 .

Distance-Weighted Discrimination

J. S. Marron, J. Marron, M. Todd, 2007 .

A nonparametric approach based on a Markov like property for classification

Eun Sug Park, Clifford H. Spiegelman, Jeongyoun Ahn, 2011 .

Support vector machines with adaptive Lq penalty

Hao Helen Zhang, Yufeng Liu, Jeongyoun Ahn, 2007, Comput. Stat. Data Anal..

Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination

Hee Cheol Chung, Yongho Jeon, Jeongyoun Ahn, 2020, J. Comput. Graph. Stat..

The high-dimension, low-sample-size geometric representation holds under mild conditions

J. Marron, Jeongyoun Ahn, Keith M. Muller, 2007 .

CLUSTERING HIGH DIMENSION, LOW SAMPLE SIZE DATA USING THE MAXIMAL DATA PILING DISTANCE

Jeongyoun Ahn, Y. Yoon, Myung Hee Lee, 2012 .

A stable hyperparameter selection for the Gaussian RBF kernel for discrimination

Jeongyoun Ahn, Jeongyoun Ahn, 2010 .

Sparse functional linear discriminant analysis

Juhyun Park, Yongho Jeon, Jeongyoun Ahn, 2020, Biometrika.

Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data

Yongho Jeon, Sungkyu Jung, Jeongyoun Ahn, 2016, Biometrics.

Blood transfusion is an independent predictor of increased mortality in nonoperatively managed blunt hepatic and splenic injuries.

A. Meyer, Jeongyoun Ahn, B. Zarzaur, 2005, The Journal of trauma.

HDLSS Discrimination With Adaptive Data Piling

Yongho Jeon, Jeongyoun Ahn, Yongho Jeon, 2013 .

The L q Support Vector Machine

Hao Helen Zhang, Yufeng Liu, Jeongyoun Ahn, 2009 .

Analysis of Long Period Variable Stars With Nonparametric Tests for Trend Detection

Woncheol Jang, Cheolwoo Park, Jeongyoun Ahn, 2011 .

PHYLOGENETIC ANALYSIS OF CANCER MICROARRAY DATA by YIWEN YANG ( Under the Direction of Liang Liu )

J. Reeves, Jeongyoun Ahn, M. Grasso, 2014 .

Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem

Yongho Jeon, Jeongyoun Ahn, Sungkyu Jung, 2017, Journal of Computational and Graphical Statistics.

On the number of principal components in high dimensions

Jeongyoun Ahn, Sungkyu Jung, Myung Hee Lee, 2017, 1708.04981.

Reproducing Kernels and New Approaches in Compositional Data Analysis

Jeongyoun Ahn, Binglin Li, 2022, ArXiv.

Double data piling leads to perfect classification

Jeongyoun Ahn, Sungkyu Jung, Woonyoung Chang, 2021, Electronic Journal of Statistics.

Kernel Methods for Radial Transformed Compositional Data with Many Zeros

Jeongyoun Ahn, Cheolwoo Park, Junyoung O. Park, 2022, ICML.

Variable selection and basis learning for ordinal classification

Jeongyoun Ahn, Sungkyu Jung, Sangil Han, 2022, 2208.10690.

A doubly sparse approach for group variable selection

Yongdai Kim, Sunghoon Kwon, Jeongyoun Ahn, 2016, Annals of the Institute of Statistical Mathematics.

Resampling-based inferences for compositional regression with application to beef cattle microbiomes

Jeongyoun Ahn, J. Lourenco, Sujin Lee, 2022, Statistical methods in medical research.

Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data

Cheolwoo Park, Jeongyoun Ahn, J. C. Poythress, 2021, Journal of Computational and Graphical Statistics.

THE RISE OF THE BIG DATA : WHY SHOULD STATISTICIANS EMBRACE COLLABORATIONS WITH COMPUTER SCIENTISTS by XIAO

Jeongyoun Ahn, Pengsheng Ji, Liang Liu, 2013 .

Covariance adjustment for batch effect in gene expression data

Jeongyoun Ahn, Jung Ae Lee, Kevin K Dobbin, 2014, Statistics in medicine.

Gene expression Gene selection using support vector machines with non-convex penalty

Xiaodong Lin, Hao Helen Zhang, Cheolwoo Park, 2005 .

Sparse HDLSS discrimination with constrained data piling

Yongho Jeon, Jeongyoun Ahn, Yongho Jeon, 2015, Comput. Stat. Data Anal..

Perinatal Docosahexaenoic Acid Supplementation Improves Cognition and Alters Brain Functional Organization in Piglets

Jeongyoun Ahn, Qun Zhao, M. Azain, 2020, Nutrients.

Distance-based outlier detection for high dimension, low sample size data

Jeongyoun Ahn, Myung Hee Lee, Jung Ae Lee, 2019 .

An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model

N. Lazar, Jeongyoun Ahn, Cheolwoo Park, 2020, Neural regeneration research.

A comparison of synthetic data approaches using utility and disclosure risk measures

Sunghoon Kwon, Jeongyoun Ahn, Cheolwoo Park, 2023, Korean Journal of Applied Statistics.

Beyond Depth and Breadth: Taking “Types” of Health Information Sought into Consideration with Cluster Analysis

Jiyeon So, Jeongyoun Ahn, M. Guan, 2022, Journal of health communication.

A Nonparametric Kernel Approach to Interval-Valued Data Analysis

Yongho Jeon, Cheolwoo Park, Jeongyoun Ahn, 2015, Technometrics.

A doubly sparse approach for group variable selection

Yongdai Kim, Sunghoon Kwon, Jeongyoun Ahn, 2017 .

A resampling approach for interval‐valued data regression

Yongho Jeon, Cheolwoo Park, Jeongyoun Ahn, 2012, Stat. Anal. Data Min..

Feature-weighted ordinal classification for predicting drug response in multiple myeloma

Jeongyoun Ahn, Ziyang Ma, 2021, Bioinform..

Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association

Cheolwoo Park, Jeongyoun Ahn, J. C. Poythress, 2021, Journal of applied statistics.

Clustering multivariate functional data with phase variation

Jeongyoun Ahn, Juhyun Park, Jeongyoun Ahn, 2017, Biometrics.

High dimension, low sample size data analysis

Jeongyoun Ahn, Jeongyoun Ahn, 2006 .

Maximal Data Piling in Discrimination

Jeongyoun Ahn, Jeongyoun Ahn, 2004 .

Gene selection using support vector machines with non-convex penalty

Jeongyoun Ahn, Xiaodong Lin, Hao Helen Zhang, 2006, Bioinform..

Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation

Jeongyoun Ahn, Cheolwoo Park, Junyoung Park, 2023, ICML.

Differentially Private Goodness-of-Fit Tests for Continuous Variables

Jaewoo Lee, Seung Woo Kwak, Jeongyoung Ahn, 2021, Econometrics and Statistics.

Grouped variable screening for ultra-high dimensional data for linear model

Jeongyoun Ahn, Debin Qiu, Jeongyoun Ahn, 2020, Comput. Stat. Data Anal..

Reproducing Kernels and New Approaches in Compositional Data Analysis

Jeongyoun Ahn, Binglin Li, 2022, ArXiv.