2 papers
stat.ME2023
Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm
Anja Zgodic, Ray Bai, Jiajia Zhang +2
High-dimensional longitudinal data is increasingly used in a wide range of scientific studies. To properly account for dependence between longitudinal observations, statistical met…
stat.ME2023
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
Anja Zgodic, Ray Bai, Jiajia Zhang +3
Sparse linear regression methods for high-dimensional data commonly assume that residuals have constant variance, which can be violated in practice. For example, Aphasia Quotient (…