5 papers
Function on Scalar Regression with Complex Survey Designs
Lily Koffman, Sunan Gao, Xinkai Zhou +3
Large health surveys increasingly collect high-dimensional functional data from wearable devices, and function on scalar regression (FoSR) is often used to quantify the relationshi…
Fast Bayesian Functional Principal Components Analysis
Joseph Sartini, Xinkai Zhou, Liz Selvin +2
Functional Principal Components Analysis (FPCA) is a widely used analytic tool for dimension reduction of functional data. Traditional implementations of FPCA estimate the principa…
Generalized Multilevel Functional Principal Component Analysis with Application to NHANES Active Inactive Patterns
Xinkai Zhou, Julia Wrobel, Ciprian M. Crainiceanu +1
Between 2011 and 2014 NHANES collected objectively measured physical activity data using wrist-worn accelerometers for tens of thousands of individuals for up to seven days. In thi…
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…
Generalized Conditional Functional Principal Component Analysis
Yu Lu, Xinkai Zhou, Erjia Cui +4
We propose generalized conditional functional principal components analysis (GC-FPCA) for the joint modeling of the fixed and random effects of non-Gaussian functional outcomes. Th…