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

collaborators

26 papers

stat.AP2022

Trends in Northern Hemispheric Snow Presence

Yisu Jia, Robert Lund, Jiajie Kong +3

This paper develops a mathematical model and statistical methods to quantify trends in presence/absence observations of snow cover (not depths) and applies these in an analysis of…

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.ML2021

Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes

Zhiyuan Liu, Jörn Schulz, Mohsen Taheri +4

This paper considers joint analysis of multiple functionally related structures in classification tasks. In particular, our method developed is driven by how functionally correlate…

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…

q-bio.BM2021★ 2 cited

Persistent topology of protein space

W. Hamilton, J. E. Borgert, T. Hamelryck +1

Protein fold classification is a classic problem in structural biology and bioinformatics. We approach this problem using persistent homology. In particular, we use alpha shape fil…

stat.CO2020

diproperm: An R Package for the DiProPerm Test

Andrew G. Allmon, J. S. Marron, Michael G. Hudgens

High-dimensional low sample size (HDLSS) data sets emerge frequently in many biomedical applications. A common task for analyzing HDLSS data is to assign data to the correct class…