activity
20072022
most citedJoint and individual variation explained (JIVE) for integrated analysis of multiple data types

602 citations · 1.6k across the 24 of their papers we have counts for

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Showing stat.MEShow all

7 papers · 1 filter

stat.ME2021★ 1 cited

Scaled torus principal component analysis

Pavlos Zoubouloglou, Eduardo García-Portugués, J. S. Marron

A particularly challenging context for dimensionality reduction is multivariate circular data, i.e., data supported on a torus. Such kind of data appears, e.g., in the analysis of…

stat.ME2021

New Perspectives on Centering

Jack B. Prothero, Jan Hannig, J. S. Marron

Data matrix centering is an ever-present yet under-examined aspect of data analysis. Functional data analysis (FDA) often operates with a default of centering such that the vectors…

stat.ME2015★ 181 cited

Functional Data Analysis of Amplitude and Phase Variation

J. S. Marron, James O. Ramsay, Laura M. Sangalli +1

The abundance of functional observations in scientific endeavors has led to a significant development in tools for functional data analysis (FDA). This kind of data comes with seve…

stat.ME2014

Significance Analysis for Pairwise Variable Selection in Classification

Xingye Qiao, Yufeng Liu, J. S. Marron

The goal of this article is to select important variables that can distinguish one class of data from another. A marginal variable selection method ranks the marginal effects for c…

stat.ME2013★ 1 cited

Nested Nonnegative Cone Analysis

Lingsong Zhang, J. S. Marron, Shu Lu

Motivated by the analysis of nonnegative data objects, a novel Nested Nonnegative Cone Analysis (NNCA) approach is proposed to overcome some drawbacks of existing methods. The appl…

stat.ME2013★ 69 cited

Statistical Significance of Clustering using Soft Thresholding

Hanwen Huang, Yufeng Liu, Ming Yuan +1

Clustering methods have led to a number of important discoveries in bioinformatics and beyond. A major challenge in their use is determining which clusters represent important unde…