289 citations · 505 across the 29 of their papers we have counts for
5 papers · 1 filter
High-dimensional Multivariate Mediation: with Application to Neuroimaging Data
Oliver Y. Chén, Ciprian M. Crainiceanu, Elizabeth L. Ogburn +3
Mediation analysis has become an important tool in the behavioral sciences for investigating the role of intermediate variables that lie in the path between a randomized treatment…
An M-Estimator for Reduced-Rank High-Dimensional Linear Dynamical System Identification
Shaojie Chen, Kai Liu, Yuguang Yang +5
High-dimensional time-series data are becoming increasingly abundant across a wide variety of domains, spanning economics, neuroscience, particle physics, and cosmology. Fitting st…
PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging data
Amanda F. Mejia, Mary Beth Nebel, Ani Eloyan +2
Outlier detection for high-dimensional (HD) data is a popular topic in modern statistical research. However, one source of HD data that has received relatively little attention is…
Stability and Localization of inter-individual differences in functional connectivity
Raag D. Airan, Joshua T. Vogelstein, Jay J. Pillai +3
Much recent attention has been paid to quantifying anatomic and functional neuroimaging on the individual subject level. For optimal individual subject characterization, specific a…
Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis
Vadim Zipunnikov, Sonja Greven, Haochang Shou +3
We develop a flexible framework for modeling high-dimensional imaging data observed longitudinally. The approach decomposes the observed variability of repeatedly measured high-dim…