Sungkyu Jung

发表

PCA CONSISTENCY IN HIGH DIMENSION, LOW SAMPLE SIZE CONTEXT

J. Marron, Sungkyu Jung, 2009, 0911.3827.

Analysis of principal nested spheres.

J. Marron, I. Dryden, Sungkyu Jung, 2012, Biometrika.

Asymptotics for High Dimension, Low Sample Size data and Analysis of Data on Manifolds

Sungkyu Jung, 2011 .

Generalized PCA via the Backward Stepwise Approach in Image Analysis

James Stephen Marron, Stephen M. Pizer, Sungkyu Jung, 2010 .

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.

To appear in Riemannian Geometric Statistics in Medical Image Analysis Object Shape Representation via Skeletal Models ( s-reps ) and Statistical Analysis

J. Marron, S. Pizer, J. Damon, 2019 .

2 0 D ec 2 01 7 Uniqueness questions in a scaling-rotation geometry on the space of symmetric positive-definite matrices

A. Schwartzman, D. Groisser, Sungkyu Jung, 2019 .

Uniqueness questions in a scaling-rotation geometry on the space of symmetric positive-definite matrices

A. Schwartzman, D. Groisser, Sungkyu Jung, 2017, 1702.03237.

Combined Analysis of Amplitude and Phase Variations in Functional Data

Sungkyu Jung, Sungwon Lee, 2016, 1603.01775.

Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem

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

A Backward Generalization of PCA for Image Analysis

J. Marron, S. Pizer, Sungkyu Jung, 2010 .

Inference on subspheres model for directional data

Sungkyu Jung, 2016, 1606.03998.

Adjusting systematic bias in high dimensional principal component scores

Sungkyu Jung, 2017, 1708.05026.

Small‐sphere distributions for directional data with application to medical imaging

S. Huckemann, Sungkyu Jung, Jörn Schulz, 2017, Scandinavian Journal of Statistics.

On the number of principal components in high dimensions

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

Object shape representation via skeletal models (s-reps) and statistical analysis

J. Marron, S. Pizer, J. Damon, 2020 .

Geometric foundations for scaling-rotation statistics on symmetric positive definite matrices: Minimal smooth scaling-rotation curves in low dimensions

A. Schwartzman, D. Groisser, Sungkyu Jung, 2016, 1602.01187.

Double data piling leads to perfect classification

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

Variable selection and basis learning for ordinal classification

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

Integrative decomposition of multi-source data by identifying partially-joint score subspaces

Sungkyu Jung, Seowon Choi, 2022, 2203.14041.

Continuum directions for supervised dimension reduction pdf

Sungkyu Jung, Sungkyu Jung, 2016, Comput. Stat. Data Anal..

Scaling-Rotation Distance and Interpolation of Symmetric Positive-Definite Matrices

David Groisser, Armin Schwartzman, Sungkyu Jung, 2014, SIAM J. Matrix Anal. Appl..

Speculation on the generality of the backward stepwise view of PCA

J. S. Marron, Ian L. Dryden, Sungkyu Jung, 2010, MIR '10.

Analysis of Rotational Deformations From Directional Data

James Stephen Marron, Stephen M. Pizer, Stephan Huckemann, 2015 .

Nested Sphere Statistics of Skeletal Models

J. S. Marron, Stephen M. Pizer, Ritwik Chaudhuri, 2013, Innovations for Shape Analysis, Models and Algorithms.

Kurtosis test of modality for rotationally symmetric distributions on hyperspheres

Sungkyu Jung, Jörn Schulz, Byungwon Kim, 2020, J. Multivar. Anal..

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

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

Geodesic projection of the von Mises–Fisher distribution for projection pursuit of directional data

Sungkyu Jung, 2021 .

Dimension Reduction on Polyspheres with Application to Skeletal Representations

Stephan Huckemann, Sungkyu Jung, Benjamin Eltzner, 2015, GSI.

Principal arc analysis on direct product manifolds

J. S. Marron, Sungkyu Jung, Mark Foskey, 2011, 1104.3472.

Boundary behavior in High Dimension, Low Sample Size asymptotics of PCA

J. S. Marron, Sungkyu Jung, Arusharka Sen, 2012, J. Multivar. Anal..

Incorporating covariates into integrated factor analysis of multi‐view data

Sungkyu Jung, Gen Li, Sungkyu Jung, 2017, Biometrics.

Covariance-engaged Classification of Sets via Linear Programming pdf

Zhao Ren, Xingye Qiao, Sungkyu Jung, 2020, ArXiv.

A statistical approach to set classification by feature selection with applications to classification of histopathology images

Sungkyu Jung, Xingye Qiao, Sungkyu Jung, 2014, Biometrics.

Covariate‐driven factorization by thresholding for multiblock data

Sungkyu Jung, Gen Li, Xing Gao, 2020, Biometrics.

Integrative decomposition of multi-source data by identifying partially-joint score subspaces

Sungkyu Jung, Seowon Choi, 2022, 2203.14041.