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현직교수

정성규 부교수

Sungkyu Jung

연구분야고차원저표본분석/기하적자료분석
주소25-436
연락처880-6578
이메일Sungkyu@snu.ac.kr
RESEARCH AREAS
Statistical learning
Modern multivariate statistics
Non-Euclidean data analysis
High-dimension, low-sample-size asymptotics
Shape analysis
Data Science
Data fusion
DEGREES
2006–2011
Ph.D. in Statistics, University of North Carolina at Chapel Hill.
1999–2003
B.S. in Statistics, Seoul National University.
BIOGRAPHY
Department of Statistics, University of Pittsburgh
2017–2018
Associate Professor
2017–2018
Graduate Director
2011–2017
Assistant Professor
Department of Statistics, Seoul National University
2018–Present
Associate Professor
SELECTED PUBLICATIONS

Sungkyu Jung (2021). “Geodesic projection of the von Mises-Fisher distribution for projection pursuit of directional data”, Electronic Journal of Statistics 15(1): 984-1033.

Byungwon Kim, Joern Schulz and Sungkyu Jung (2020). “Kurtosis test of modality for rotationally symmetric distributions on hyperspheres”, The Journal of Multivariate Analysis, 178, Article 104603.

Byungwon Kim, Stephan Huckemann, Joern Schulz, and Sungkyu Jung (2019). “Small sphere distributions for directional data with application to medical imaging”, Scandinavian Journal of Statistics. 46(4) 1047-1071.

Sungkyu Jung, Jeongyoun Ahn, and Yongho Jeon (2019). “Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem” Journal of Computational and Graphical Statistics. 28(3) 710-721.

Sungkyu Jung, Myung Hee Lee and Jeongyoun Ahn (2018). “On the number of principal components in high dimensions,” Biometrika 105(2), 389-402.

Sungkyu Jung (2018). “Continuum directions for supervised dimension reduction,” Computational Statistics and Data Analysis 125, 27-43.

Gen Li and Sungkyu Jung (2017). “Incorporating Covariates into Integrated Factor Analysis of Multi-View Data,” Biometrics 73 (4), 1433-1442.

David Groisser, Sungkyu Jung, and Armin Schwartzman (2017). “Geometric foundations for statistics on symmetric positive definite matrices: characterizations of minimal scaling-rotation curves in low dimensions”, Electronic Journal of Statistics, Vol. 11, No. 1, 1092-1159.

Sungkyu Jung, Armin Schwartman and David Groisser (2015). “Scaling-rotation distance and interpolation of symmetric positive-definite matrices”. SIAM. J. Matrix Anal. & Appl. 36-3, pp. 1180-1201

Joern Schulz, Sungkyu Jung, Stephan Huckemann, Michael Pierrynowski, J. S. Marron, Stephen M. Pizer (2015) “Analysis of rotational motion from directional data”. Journal of Computational and Graphical Statistics, 24(2), 539-560.

Sungkyu Jung and Xingye Qiao (2014). “A statistical approach to set classification by feature selection with applications to classification of histopathology images”, Biometrics, 70, 536-545.

Sungkyu Jung, Arusharka Sen and J. S. Marron (2012). “Boundary behavior in high dimension, low sample size asymptotics of PCA”, The Journal of Multivariate Analysis, 109, 190-203.

Sungkyu Jung, Ian L. Dryden and J. S. Marron (2012). “Analysis of Principal Nested Spheres”, Biometrika, 99(3), 551-568.

Sungkyu Jung, Mark Foskey and J. S. Marron (2011). “Principal Arc Analysis on direct product manifolds”, The Annals of Applied Statistics, 5, 578-603.

Sungkyu Jung and J. S. Marron (2009). “PCA consistency in High dimension, low sample size context”. The Annals of Statistics 37, 4104-4130.

AWARDS

2019

Excellence in Teaching Award, College of Natural Science, Seoul National University

2016

Early Career Development Award, Korean International Statistical Society

2014

US Junior Oberwolfach Fellow, MFO, Germany

2011

Distinguished Paper Award, International Biometric Society/ENAR

2007

Wassily Hoeffding Award, Statistics and Operations Research, University of North Carolina