activity
20092016
most citedMultilevel functional principal component analysis

289 citations · 303 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2016

Simple fixed-effects inference for complex functional models

So Young Park, Ana-Maria Staicu, Luo Xiao +1

We propose simple inferential approaches for the fixed effects in complex functional mixed effects models. We estimate the fixed effects under the independence of functional residu…

stat.AP20132 cited

Structured Functional Principal Component Analysis

Haochang Shou, Vadim Zipunnikov, Ciprian M. Crainiceanu +1

Motivated by modern observational studies, we introduce a class of functional models that expands nested and crossed designs. These models account for the natural inheritance of co…

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…