1 citations · 1 across the 1 of their papers we have counts for
3 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 (…
stat.ME2022★ 1 cited
A Generalization of Ripley's K Function for the Detection of Spatial Clustering in Areal Data
Stella Self, Anna Overby, Anja Zgodic +3
Spatial clustering detection has a variety of applications in diverse fields, including identifying infectious disease outbreaks, assessing land use patterns, pinpointing crime hot…