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stat.ME2021
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…
stat.ME2019
Streamlined Variational Inference for Higher Level Group-Specific Curve Models
M. Menictas, T. H. Nolan, D. G. Simpson +1
A two-level group-specific curve model is such that the mean response of each member of a group is a separate smooth function of a predictor of interest. The three-level extension…