Sungkyu Jung

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J. S. MarronUniversity of North CarolinaVerified email at unc.edu
Jeongyoun AhnkaistVerified email at kaist.ac.kr
Stephan HuckemannProfessor for Non-Euclidean Statistics, University of GoettingenVerified email at math.uni-goettingen.de
Armin SchwartzmanProfessor, University of California, San DiegoVerified email at ucsd.edu
Ian L. DrydenProfessor, Department of Statistics, University of South CarolinaVerified email at mailbox.sc.edu
Jared VicoryStaff R&D Engineer, Kitware, Inc.Verified email at kitware.com
Dib GoswamiCruise LLC, Aurora Innovation, Uber ATG, Bluware Inc., Schlumberger, UNC Chapel HillVerified email at getcruise.com
Xingye QiaoProfessor of Mathematics and Statistics, Binghamton UniversityVerified email at binghamton.edu
Gen LiAssociate Professor, Department of Biostatistics, University of MichiganVerified email at umich.edu
Arusharka SenAssociate Professor of Statistics, Concordia University, MontrealVerified email at concordia.ca
Sandra E SafoUniversity of MinnesotaVerified email at umn.edu
Beatriz PaniaguaAssistant Director of Medical Computing, Kitware Inc.Verified email at kitware.com
Myung Hee LeeWeill Cornell MedicineVerified email at med.cornell.edu
Benjamin EltznerUniversity of GöttingenVerified email at mathematik.uni-goettingen.de
Minwoo KimPhD Student, Department of Statistics, Seoul National UniversityVerified email at snu.ac.kr
Kiho ParkUniversity of ChicagoVerified email at uchicago.edu
Woonyoung ChangPh.D student in Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Woncheol JangDepartment of Statistics, Seoul National UniversityVerified email at snu.ac.kr
Johan LimStatistics, Seoul National UniversityVerified email at snu.ac.kr
Kipoong KimAssistant Professor, Changwon National UniversityVerified email at changwon.ac.kr

Sungkyu Jung

Department of Statistics, Seoul National University

Verified email at snu.ac.kr - Homepage

Statistics Applied Statistics Multivariate Statistics


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PCA consistency in high dimension, low sample size context S Jung, JS Marron	384	2009
Analysis of principal nested spheres S Jung, IL Dryden, JS Marron Biometrika 99 (3), 551-568, 2012	187	2012
Boundary behavior in high dimension, low sample size asymptotics of PCA S Jung, A Sen, JS Marron Journal of Multivariate Analysis 109, 190-203, 2012	78	2012
Nested sphere statistics of skeletal models SM Pizer, S Jung, D Goswami, J Vicory, X Zhao, R Chaudhuri, JN Damon, ... Innovations for Shape Analysis: Models and Algorithms, 93-115, 2013	75	2013
Principal arc analysis on direct product manifolds S Jung, M Foskey, JS Marron	67	2011
Incorporating covariates into integrated factor analysis of multi‐view data G Li, S Jung Biometrics 73 (4), 1433-1442, 2017	40	2017
Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data SE Safo, J Ahn, Y Jeon, S Jung Biometrics 74 (4), 1362-1371, 2018	31	2018
Generalized PCA via the backward stepwise approach in image analysis S Jung, X Liu, JS Marron, SM Pizer Brain, Body and Machine: Proceedings of an International Symposium on the …, 2010	29	2010
Object shape representation via skeletal models (s-reps) and statistical analysis SM Pizer, J Hong, J Vicory, Z Liu, JS Marron, H Choi, J Damon, S Jung, ... Riemannian Geometric Statistics in Medical Image Analysis, 233-271, 2020	27	2020
Scaling-rotation distance and interpolation of symmetric positive-definite matrices S Jung, A Schwartzman, D Groisser SIAM Journal on Matrix Analysis and Applications 36 (3), 1180-1201, 2015	26	2015
Analysis of rotational deformations from directional data J Schulz, S Jung, S Huckemann, M Pierrynowski, JS Marron, SM Pizer Journal of Computational and Graphical Statistics 24 (2), 539-560, 2015	24	2015
On the number of principal components in high dimensions S Jung, MH Lee, J Ahn Biometrika 105 (2), 389-402, 2018	21	2018
Combined analysis of amplitude and phase variations in functional data S Lee, S Jung arXiv preprint arXiv:1603.01775, 2016	21	2016
Dimension reduction on polyspheres with application to skeletal representations B Eltzner, S Jung, S Huckemann Geometric Science of Information: Second International Conference, GSI 2015 …, 2015	21	2015
Penalized orthogonal iteration for sparse estimation of generalized eigenvalue problem S Jung, J Ahn, Y Jeon Journal of Computational and Graphical Statistics 28 (3), 710-721, 2019	18	2019
Geometric foundations for scaling-rotation statistics on symmetric positive definite matrices: Minimal smooth scaling-rotation curves in low dimensions D Groisser, S Jung, A Schwartzman	17	2017
Speculation on the generality of the backward stepwise view of pca JS Marron, S Jung, IL Dryden Proceedings of the international conference on multimedia information …, 2010	17	2010
A statistical approach to set classification by feature selection with applications to classification of histopathology images S Jung, X Qiao Biometrics 70 (3), 536-545, 2014	16	2014
Respiratory motion prediction and prospective correction for free‐breathing arterial spin‐labeled perfusion MRI of the kidneys H Song, D Ruan, W Liu, VA Stenger, R Pohmann, MA Fernández‐Seara, ... Medical physics 44 (3), 962-973, 2017	14	2017
Clustering on the torus by conformal prediction S Jung, K Park, B Kim The Annals of Applied Statistics 15 (4), 1583-1603, 2021	13	2021

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