activity
20092026
most citedPCA consistency in high dimension, low sample size context

311 citations · 447 across the 20 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

stat.ME2016★ 2 cited

Sparse Generalized Eigenvalue Problem with Application to Canonical Correlation Analysis for Integrative Analysis of Methylation and Gene Expression Data

Sandra E. Safo, Jeongyoun Ahn, Yongho Jeon +1

We present a method for individual and integrative analysis of high dimension, low sample size data that capitalizes on the recurring theme in multivariate analysis of projecting h…

math.ST2016

Inference on subspheres model for directional data

Sungkyu Jung

Modeling deformations of a real object is an important task in computer vision, biomedical engineering and biomechanics. In this paper, we focus on a situation where a three-dimens…

stat.ME2016★ 5 cited

Continuum directions for supervised dimension reduction

Sungkyu Jung

Dimension reduction of multivariate data supervised by auxiliary information is considered. A series of basis for dimension reduction is obtained as minimizers of a novel criterion…

stat.ME2016★ 10 cited

Combined Analysis of Amplitude and Phase Variations in Functional Data

Sungwon Lee, Sungkyu Jung

When functional data manifest amplitude and phase variations, a commonly-employed framework for analyzing them is to take away the phase variation through a function alignment and…

math.MG2016★ 8 cited

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

David Groisser, Sungkyu Jung, Armin Schwartzman

We investigate a geometric computational framework, called the "scaling-rotation framework", on , the set of symmetric positive-definite (SPD) matrices…