activity
20062011
most citedMultilevel functional principal component analysis

289 citations · 300 across the 2 of their papers we have counts for

collaborators

5 papers

stat.AP20131 cited

Parametrization of white matter manifold-like structures using principal surfaces

Chen Yue, Vadim Zipunnikov, Pierre-Louis Bazin +4

In this manuscript, we are concerned with data generated from a diffusion tensor imaging (DTI) experiment. The goal is to parameterize manifold-like white matter tracts, such as th…

stat.AP2013

Homotopic Group ICA for Multi-Subject Brain Imaging Data

Juemin Yang, Ani Eloyan, Anita Barber +5

Independent Component Analysis (ICA) is a computational technique for revealing latent factors that underlie sets of measurements or signals. It has become a standard technique in…

stat.AP201111 cited

Nonlinear tube-fitting for the analysis of anatomical and functional structures

Jeff Goldsmith, Brian Caffo, Ciprian Crainiceanu +3

We are concerned with the estimation of the exterior surface and interior summaries of tube-shaped anatomical structures. This interest is motivated by two distinct scientific goal…

stat.AP2009289 cited

Multilevel functional principal component analysis

Chong-Zhi Di, Ciprian M. Crainiceanu, Brian S. Caffo +1

The Sleep Heart Health Study (SHHS) is a comprehensive landmark study of sleep and its impacts on health outcomes. A primary metric of the SHHS is the in-home polysomnogram, which…

math.ST2006

Fixed-width output analysis for Markov chain Monte Carlo

Galin Jones, Murali Haran, Brian Caffo +1

Markov chain Monte Carlo is a method of producing a correlated sample in order to estimate features of a target distribution via ergodic averages. A fundamental question is when sh…