5 citations · 5 across the 8 of their papers we have counts for
3 papers · 2 filters
Bayesian Multivariate Sparse Functional Principal Components Analysis
Joseph Sartini, Scott Zeger, Ciprian Crainiceanu
Functional Principal Components Analysis (FPCA) provides a parsimonious, semi-parametric model for multivariate, sparsely-observed functional data. Frequentist FPCA approaches esti…
Tutorial on Bayesian Functional Regression Using Stan
Ziren Jiang, Ciprian Crainiceanu, Erjia Cui
This manuscript provides step-by-step instructions for implementing Bayesian functional regression models using Stan. Extensive simulations indicate that the inferential performanc…
Prediction Inference Using Generalized Functional Mixed Effects Models
Xinkai Zhou, Erjia Cui, Joseph Sartini +1
We introduce inferential methods for prediction based on functional random effects in generalized functional mixed effects models. This is similar to the inference for random effec…