1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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 (…
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
Alexander C. McLain, Anja Zgodic, Howard Bondell
Bayesian variable selection methods are powerful techniques for fitting and inferring on sparse high-dimensional linear regression models. However, many are computationally intensi…
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…