3 citations · 6 across the 2 of their papers we have counts for
5 papers
Joint Model for Survival and Multivariate Sparse Functional Data with Application to a Study of Alzheimer's Disease
Cai Li, Luo Xiao, Sheng Luo
Studies of Alzheimer's disease (AD) often collect multiple longitudinal clinical outcomes, which are correlated and predictive of AD progression. It is of great scientific interest…
Model Testing for Generalized Scalar-on-Function Linear Models
Stephanie T. Chen, Luo Xiao, Ana-Maria Staicu
Scalar-on-function linear models are commonly used to regress functional predictors on a scalar response. However, functional models are more difficult to estimate and interpret th…
An Approximate Restricted Likelihood Ratio Test for Variance Components in Generalized Linear Mixed Models
Stephanie T. Chen, Luo Xiao, Ana-Maria Staicu
Generalized linear mixed models (GLMMs) are used to model responses from exponential families with a combination of fixed and random effects. For variance components in GLMMs, we p…
Fast Covariance Estimation for Multivariate Sparse Functional Data
Cai Li, Luo Xiao, Sheng Luo
Covariance estimation is essential yet underdeveloped for analyzing multivariate functional data. We propose a fast covariance estimation method for multivariate sparse functional…
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…