2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Comparing estimators of discriminative performance of time-to-event models
Ying Jin, Andrew Leroux
Predicting the timing and occurrence of events is a major focus of data science applications, especially in the context of biomedical research. Performance for models estimating th…
stat.ME2023★ 2 cited
Fast Generalized Functional Principal Components Analysis
Andrew Leroux, Ciprian Crainiceanu, Julia Wrobel
We propose a new fast generalized functional principal components analysis (fast-GFPCA) algorithm for dimension reduction of non-Gaussian functional data. The method consists of: (…
stat.ME2022
Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models
J. Zhang, W. Guo, J. S. Carpenter +6
Linear mixed-effects models are widely used in analyzing repeated measures data, including clustered and longitudinal data, where inferences of both fixed effects and variance comp…