11 citations · 11 across the 3 of their papers we have counts for
3 papers
Bayesian Functional Principal Components Analysis via Variational Message Passing
Tui H. Nolan, Jeff Goldsmith, David Ruppert
Functional principal components analysis is a popular tool for inference on functional data. Standard approaches rely on an eigendecomposition of a smoothed covariance surface in o…
Interactive graphics for functional data analyses
Julia Wrobel, So Young Park, Ana Maria Staicu +1
Although there are established graphics that accompany the most common functional data analyses, generating these graphics for each dataset and analysis can be cumbersome and time…
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…